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Tim Rocktäschel
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- affiliation: Universitiy College London, UK
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2020 – today
- 2024
- [c75]Akbir Khan, Timon Willi, Newton Kwan, Andrea Tacchetti, Chris Lu, Edward Grefenstette, Tim Rocktäschel, Jakob N. Foerster:
Scaling Opponent Shaping to High Dimensional Games. AAMAS 2024: 1001-1010 - [c74]Mikayel Samvelyan, Davide Paglieri, Minqi Jiang, Jack Parker-Holder, Tim Rocktäschel:
Multi-Agent Diagnostics for Robustness via Illuminated Diversity. AAMAS 2024: 1630-1644 - [c73]Alexander Rutherford, Benjamin Ellis, Matteo Gallici, Jonathan Cook, Andrei Lupu, Garðar Ingvarsson, Timon Willi, Akbir Khan, Christian Schröder de Witt, Alexandra Souly, Saptarashmi Bandyopadhyay, Mikayel Samvelyan, Minqi Jiang, Robert T. Lange, Shimon Whiteson, Bruno Lacerda, Nick Hawes, Tim Rocktäschel, Chris Lu, Jakob N. Foerster:
JaxMARL: Multi-Agent RL Environments and Algorithms in JAX. AAMAS 2024: 2444-2446 - [c72]Samyak Jain, Robert Kirk, Ekdeep Singh Lubana, Robert P. Dick, Hidenori Tanaka, Tim Rocktäschel, Edward Grefenstette, David Scott Krueger:
Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks. ICLR 2024 - [c71]Zhengyao Jiang, Yingchen Xu, Nolan Wagener, Yicheng Luo, Michael Janner, Edward Grefenstette, Tim Rocktäschel, Yuandong Tian:
H-GAP: Humanoid Control with a Generalist Planner. ICLR 2024 - [c70]Edward Hughes, Michael D. Dennis, Jack Parker-Holder, Feryal M. P. Behbahani, Aditi Mavalankar, Yuge Shi, Tom Schaul, Tim Rocktäschel:
Position: Open-Endedness is Essential for Artificial Superhuman Intelligence. ICML 2024 - [c69]Jake Bruce, Michael D. Dennis, Ashley Edwards, Jack Parker-Holder, Yuge Shi, Edward Hughes, Matthew Lai, Aditi Mavalankar, Richie Steigerwald, Chris Apps, Yusuf Aytar, Sarah Bechtle, Feryal M. P. Behbahani, Stephanie C. Y. Chan, Nicolas Heess, Lucy Gonzalez, Simon Osindero, Sherjil Ozair, Scott E. Reed, Jingwei Zhang, Konrad Zolna, Jeff Clune, Nando de Freitas, Satinder Singh, Tim Rocktäschel:
Genie: Generative Interactive Environments. ICML 2024 - [c68]Chrisantha Fernando, Dylan Banarse, Henryk Michalewski, Simon Osindero, Tim Rocktäschel:
Promptbreeder: Self-Referential Self-Improvement via Prompt Evolution. ICML 2024 - [c67]Akbir Khan, John Hughes, Dan Valentine, Laura Ruis, Kshitij Sachan, Ansh Radhakrishnan, Edward Grefenstette, Samuel R. Bowman, Tim Rocktäschel, Ethan Perez:
Debating with More Persuasive LLMs Leads to More Truthful Answers. ICML 2024 - [i81]Mikayel Samvelyan, Davide Paglieri, Minqi Jiang, Jack Parker-Holder, Tim Rocktäschel:
Multi-Agent Diagnostics for Robustness via Illuminated Diversity. CoRR abs/2401.13460 (2024) - [i80]Akbir Khan, John Hughes, Dan Valentine, Laura Ruis, Kshitij Sachan, Ansh Radhakrishnan, Edward Grefenstette, Samuel R. Bowman, Tim Rocktäschel, Ethan Perez:
Debating with More Persuasive LLMs Leads to More Truthful Answers. CoRR abs/2402.06782 (2024) - [i79]Jake Bruce, Michael Dennis, Ashley Edwards, Jack Parker-Holder, Yuge Shi, Edward Hughes, Matthew Lai, Aditi Mavalankar, Richie Steigerwald, Chris Apps, Yusuf Aytar, Sarah Bechtle, Feryal M. P. Behbahani, Stephanie Chan, Nicolas Heess, Lucy Gonzalez, Simon Osindero, Sherjil Ozair, Scott E. Reed, Jingwei Zhang, Konrad Zolna, Jeff Clune, Nando de Freitas, Satinder Singh, Tim Rocktäschel:
Genie: Generative Interactive Environments. CoRR abs/2402.15391 (2024) - [i78]Mikayel Samvelyan, Sharath Chandra Raparthy, Andrei Lupu, Eric Hambro, Aram H. Markosyan, Manish Bhatt, Yuning Mao, Minqi Jiang, Jack Parker-Holder, Jakob N. Foerster, Tim Rocktäschel, Roberta Raileanu:
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts. CoRR abs/2402.16822 (2024) - [i77]Davide Paglieri, Saurabh Dash, Tim Rocktäschel, Jack Parker-Holder:
Outliers and Calibration Sets have Diminishing Effect on Quantization of Modern LLMs. CoRR abs/2405.20835 (2024) - [i76]Edward Hughes, Michael Dennis, Jack Parker-Holder, Feryal M. P. Behbahani, Aditi Mavalankar, Yuge Shi, Tom Schaul, Tim Rocktäschel:
Open-Endedness is Essential for Artificial Superhuman Intelligence. CoRR abs/2406.04268 (2024) - [i75]Eduardo Pignatelli, Johan Ferret, Tim Rocktäschel, Edward Grefenstette, Davide Paglieri, Samuel Coward, Laura Toni:
Assessing the Zero-Shot Capabilities of LLMs for Action Evaluation in RL. CoRR abs/2409.12798 (2024) - [i74]Jonathan Cook, Tim Rocktäschel, Jakob N. Foerster, Dennis Aumiller, Alex Wang:
TICKing All the Boxes: Generated Checklists Improve LLM Evaluation and Generation. CoRR abs/2410.03608 (2024) - 2023
- [j5]Robert Kirk, Amy Zhang, Edward Grefenstette, Tim Rocktäschel:
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning. J. Artif. Intell. Res. 76: 201-264 (2023) - [c66]Ishita Mediratta, Minqi Jiang, Jack Parker-Holder, Michael Dennis, Eugene Vinitsky, Tim Rocktäschel:
Stabilizing Unsupervised Environment Design with a Learned Adversary. CoLLAs 2023: 270-291 - [c65]Zhengyao Jiang, Tianjun Zhang, Michael Janner, Yueying Li, Tim Rocktäschel, Edward Grefenstette, Yuandong Tian:
Efficient Planning in a Compact Latent Action Space. ICLR 2023 - [c64]Mikayel Samvelyan, Akbir Khan, Michael Dennis, Minqi Jiang, Jack Parker-Holder, Jakob Nicolaus Foerster, Roberta Raileanu, Tim Rocktäschel:
MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning. ICLR 2023 - [c63]Jakob Bauer, Kate Baumli, Feryal M. P. Behbahani, Avishkar Bhoopchand, Nathalie Bradley-Schmieg, Michael Chang, Natalie Clay, Adrian Collister, Vibhavari Dasagi, Lucy Gonzalez, Karol Gregor, Edward Hughes, Sheleem Kashem, Maria Loks-Thompson, Hannah Openshaw, Jack Parker-Holder, Shreya Pathak, Nicolas Perez Nieves, Nemanja Rakicevic, Tim Rocktäschel, Yannick Schroecker, Satinder Singh, Jakub Sygnowski, Karl Tuyls, Sarah York, Alexander Zacherl, Lei M. Zhang:
Human-Timescale Adaptation in an Open-Ended Task Space. ICML 2023: 1887-1935 - [c62]Laura Ruis, Akbir Khan, Stella Biderman, Sara Hooker, Tim Rocktäschel, Edward Grefenstette:
The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs. NeurIPS 2023 - [i73]Adaptive Agent Team, Jakob Bauer, Kate Baumli, Satinder Baveja, Feryal M. P. Behbahani, Avishkar Bhoopchand, Nathalie Bradley-Schmieg, Michael Chang, Natalie Clay, Adrian Collister, Vibhavari Dasagi, Lucy Gonzalez, Karol Gregor, Edward Hughes, Sheleem Kashem, Maria Loks-Thompson, Hannah Openshaw, Jack Parker-Holder, Shreya Pathak, Nicolas Perez Nieves, Nemanja Rakicevic, Tim Rocktäschel, Yannick Schroecker, Jakub Sygnowski, Karl Tuyls, Sarah York, Alexander Zacherl, Lei Zhang:
Human-Timescale Adaptation in an Open-Ended Task Space. CoRR abs/2301.07608 (2023) - [i72]Mikayel Samvelyan, Akbir Khan, Michael Dennis, Minqi Jiang, Jack Parker-Holder, Jakob N. Foerster, Roberta Raileanu, Tim Rocktäschel:
MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning. CoRR abs/2303.03376 (2023) - [i71]Ishita Mediratta, Minqi Jiang, Jack Parker-Holder, Michael Dennis, Eugene Vinitsky, Tim Rocktäschel:
Stabilizing Unsupervised Environment Design with a Learned Adversary. CoRR abs/2308.10797 (2023) - [i70]Chrisantha Fernando, Dylan Banarse, Henryk Michalewski, Simon Osindero, Tim Rocktäschel:
Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution. CoRR abs/2309.16797 (2023) - [i69]Garðar Ingvarsson, Mikayel Samvelyan, Bryan Lim, Manon Flageat, Antoine Cully, Tim Rocktäschel:
Mix-ME: Quality-Diversity for Multi-Agent Learning. CoRR abs/2311.01829 (2023) - [i68]Alexander Rutherford, Benjamin Ellis, Matteo Gallici, Jonathan Cook, Andrei Lupu, Garðar Ingvarsson, Timon Willi, Akbir Khan, Christian Schröder de Witt, Alexandra Souly, Saptarashmi Bandyopadhyay, Mikayel Samvelyan, Minqi Jiang, Robert Tjarko Lange, Shimon Whiteson, Bruno Lacerda, Nick Hawes, Tim Rocktäschel, Chris Lu, Jakob Nicolaus Foerster:
JaxMARL: Multi-Agent RL Environments in JAX. CoRR abs/2311.10090 (2023) - [i67]Minqi Jiang, Michael Dennis, Edward Grefenstette, Tim Rocktäschel:
minimax: Efficient Baselines for Autocurricula in JAX. CoRR abs/2311.12716 (2023) - [i66]Samyak Jain, Robert Kirk, Ekdeep Singh Lubana, Robert P. Dick, Hidenori Tanaka, Edward Grefenstette, Tim Rocktäschel, David Scott Krueger:
Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks. CoRR abs/2311.12786 (2023) - [i65]Zhengyao Jiang, Yingchen Xu, Nolan Wagener, Yicheng Luo, Michael Janner, Edward Grefenstette, Tim Rocktäschel, Yuandong Tian:
H-GAP: Humanoid Control with a Generalist Planner. CoRR abs/2312.02682 (2023) - [i64]Kate Baumli, Satinder Baveja, Feryal M. P. Behbahani, Harris Chan, Gheorghe Comanici, Sebastian Flennerhag, Maxime Gazeau, Kristian Holsheimer, Dan Horgan, Michael Laskin, Clare Lyle, Hussain Masoom, Kay McKinney, Volodymyr Mnih, Alexander Neitz, Fabio Pardo, Jack Parker-Holder, John Quan, Tim Rocktäschel, Himanshu Sahni, Tom Schaul, Yannick Schroecker, Stephen Spencer, Richie Steigerwald, Luyu Wang, Lei Zhang:
Vision-Language Models as a Source of Rewards. CoRR abs/2312.09187 (2023) - [i63]Alexandra Souly, Timon Willi, Akbir Khan, Robert Kirk, Chris Lu, Edward Grefenstette, Tim Rocktäschel:
Leading the Pack: N-player Opponent Shaping. CoRR abs/2312.12564 (2023) - [i62]Akbir Khan, Timon Willi, Newton Kwan, Andrea Tacchetti, Chris Lu, Edward Grefenstette, Tim Rocktäschel, Jakob N. Foerster:
Scaling Opponent Shaping to High Dimensional Games. CoRR abs/2312.12568 (2023) - 2022
- [c61]Michael T. Matthews, Mikayel Samvelyan, Jack Parker-Holder, Edward Grefenstette, Tim Rocktäschel:
Hierarchical Kickstarting for Skill Transfer in Reinforcement Learning. CoLLAs 2022: 856-874 - [c60]Jack Parker-Holder, Minqi Jiang, Michael Dennis, Mikayel Samvelyan, Jakob N. Foerster, Edward Grefenstette, Tim Rocktäschel:
Evolving Curricula with Regret-Based Environment Design. ICML 2022: 17473-17498 - [c59]Christopher Bamford, Minqi Jiang, Mikayel Samvelyan, Tim Rocktäschel:
GriddlyJS: A Web IDE for Reinforcement Learning. NeurIPS 2022 - [c58]Eric Hambro, Roberta Raileanu, Danielle Rothermel, Vegard Mella, Tim Rocktäschel, Heinrich Küttler, Naila Murray:
Dungeons and Data: A Large-Scale NetHack Dataset. NeurIPS 2022 - [c57]Mikael Henaff, Roberta Raileanu, Minqi Jiang, Tim Rocktäschel:
Exploration via Elliptical Episodic Bonuses. NeurIPS 2022 - [c56]Minqi Jiang, Michael Dennis, Jack Parker-Holder, Andrei Lupu, Heinrich Küttler, Edward Grefenstette, Tim Rocktäschel, Jakob N. Foerster:
Grounding Aleatoric Uncertainty for Unsupervised Environment Design. NeurIPS 2022 - [c55]Jesse Mu, Victor Zhong, Roberta Raileanu, Minqi Jiang, Noah D. Goodman, Tim Rocktäschel, Edward Grefenstette:
Improving Intrinsic Exploration with Language Abstractions. NeurIPS 2022 - [c54]Yingchen Xu, Jack Parker-Holder, Aldo Pacchiano, Philip J. Ball, Oleh Rybkin, Stephen Roberts, Tim Rocktäschel, Edward Grefenstette:
Learning General World Models in a Handful of Reward-Free Deployments. NeurIPS 2022 - [c53]Victor Zhong, Jesse Mu, Luke Zettlemoyer, Edward Grefenstette, Tim Rocktäschel:
Improving Policy Learning via Language Dynamics Distillation. NeurIPS 2022 - [i61]Anuj Mahajan, Mikayel Samvelyan, Tarun Gupta, Benjamin Ellis, Mingfei Sun, Tim Rocktäschel, Shimon Whiteson:
Generalization in Cooperative Multi-Agent Systems. CoRR abs/2202.00104 (2022) - [i60]Jesse Mu, Victor Zhong, Roberta Raileanu, Minqi Jiang, Noah D. Goodman, Tim Rocktäschel, Edward Grefenstette:
Improving Intrinsic Exploration with Language Abstractions. CoRR abs/2202.08938 (2022) - [i59]Jack Parker-Holder, Minqi Jiang, Michael Dennis, Mikayel Samvelyan, Jakob N. Foerster, Edward Grefenstette, Tim Rocktäschel:
Evolving Curricula with Regret-Based Environment Design. CoRR abs/2203.01302 (2022) - [i58]Eric Hambro, Sharada P. Mohanty, Dmitrii Babaev, Minwoo Byeon, Dipam Chakraborty, Edward Grefenstette, Minqi Jiang, DaeJin Jo, Anssi Kanervisto, Jongmin Kim, Sungwoong Kim, Robert Kirk, Vitaly Kurin, Heinrich Küttler, Taehwon Kwon, Donghoon Lee, Vegard Mella, Nantas Nardelli, Ivan Nazarov, Nikita Ovsov, Jack Parker-Holder, Roberta Raileanu, Karolis Ramanauskas, Tim Rocktäschel, Danielle Rothermel, Mikayel Samvelyan, Dmitry Sorokin, Maciej Sypetkowski, Michal Sypetkowski:
Insights From the NeurIPS 2021 NetHack Challenge. CoRR abs/2203.11889 (2022) - [i57]Zhengyao Jiang, Tianjun Zhang, Robert Kirk, Tim Rocktäschel, Edward Grefenstette:
Graph Backup: Data Efficient Backup Exploiting Markovian Transitions. CoRR abs/2205.15824 (2022) - [i56]Minqi Jiang, Michael Dennis, Jack Parker-Holder, Andrei Lupu, Heinrich Küttler, Edward Grefenstette, Tim Rocktäschel, Jakob N. Foerster:
Grounding Aleatoric Uncertainty in Unsupervised Environment Design. CoRR abs/2207.05219 (2022) - [i55]Christopher Bamford, Minqi Jiang, Mikayel Samvelyan, Tim Rocktäschel:
GriddlyJS: A Web IDE for Reinforcement Learning. CoRR abs/2207.06105 (2022) - [i54]Michael T. Matthews, Mikayel Samvelyan, Jack Parker-Holder, Edward Grefenstette, Tim Rocktäschel:
Hierarchical Kickstarting for Skill Transfer in Reinforcement Learning. CoRR abs/2207.11584 (2022) - [i53]Zhengyao Jiang, Tianjun Zhang, Michael Janner, Yueying Li, Tim Rocktäschel, Edward Grefenstette, Yuandong Tian:
Efficient Planning in a Compact Latent Action Space. CoRR abs/2208.10291 (2022) - [i52]Victor Zhong, Jesse Mu, Luke Zettlemoyer, Edward Grefenstette, Tim Rocktäschel:
Improving Policy Learning via Language Dynamics Distillation. CoRR abs/2210.00066 (2022) - [i51]Mikael Henaff, Roberta Raileanu, Minqi Jiang, Tim Rocktäschel:
Exploration via Elliptical Episodic Bonuses. CoRR abs/2210.05805 (2022) - [i50]Yingchen Xu, Jack Parker-Holder, Aldo Pacchiano, Philip J. Ball, Oleh Rybkin, Stephen J. Roberts, Tim Rocktäschel, Edward Grefenstette:
Learning General World Models in a Handful of Reward-Free Deployments. CoRR abs/2210.12719 (2022) - [i49]Laura Ruis, Akbir Khan, Stella Biderman, Sara Hooker, Tim Rocktäschel, Edward Grefenstette:
Large language models are not zero-shot communicators. CoRR abs/2210.14986 (2022) - [i48]Eric Hambro, Roberta Raileanu, Danielle Rothermel, Vegard Mella, Tim Rocktäschel, Heinrich Küttler, Naila Murray:
Dungeons and Data: A Large-Scale NetHack Dataset. CoRR abs/2211.00539 (2022) - [i47]Minqi Jiang, Tim Rocktäschel, Edward Grefenstette:
General Intelligence Requires Rethinking Exploration. CoRR abs/2211.07819 (2022) - 2021
- [c52]Zhengyao Jiang, Pasquale Minervini, Minqi Jiang, Tim Rocktäschel:
Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning. AAMAS 2021: 674-682 - [c51]Andres Campero, Roberta Raileanu, Heinrich Küttler, Joshua B. Tenenbaum, Tim Rocktäschel, Edward Grefenstette:
Learning with AMIGo: Adversarially Motivated Intrinsic Goals. ICLR 2021 - [c50]Vitaly Kurin, Maximilian Igl, Tim Rocktäschel, Wendelin Boehmer, Shimon Whiteson:
My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control. ICLR 2021 - [c49]Minqi Jiang, Edward Grefenstette, Tim Rocktäschel:
Prioritized Level Replay. ICML 2021: 4940-4950 - [c48]Prithviraj Ammanabrolu, Jack Urbanek, Margaret Li, Arthur Szlam, Tim Rocktäschel, Jason Weston:
How to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and Act in Fantasy Worlds. NAACL-HLT 2021: 807-833 - [c47]Fabio Petroni, Aleksandra Piktus, Angela Fan, Patrick S. H. Lewis, Majid Yazdani, Nicola De Cao, James Thorne, Yacine Jernite, Vladimir Karpukhin, Jean Maillard, Vassilis Plachouras, Tim Rocktäschel, Sebastian Riedel:
KILT: a Benchmark for Knowledge Intensive Language Tasks. NAACL-HLT 2021: 2523-2544 - [c46]Eric Hambro, Sharada P. Mohanty, Dmitrii Babaev, Minwoo Byeon, Dipam Chakraborty, Edward Grefenstette, Minqi Jiang, DaeJin Jo, Anssi Kanervisto, Jongmin Kim, Sungwoong Kim, Robert Kirk, Vitaly Kurin, Heinrich Küttler, Taehwon Kwon, Donghoon Lee, Vegard Mella, Nantas Nardelli, Ivan Nazarov, Nikita Ovsov, Jack Parker-Holder, Roberta Raileanu, Karolis Ramanauskas, Tim Rocktäschel, Danielle Rothermel, Mikayel Samvelyan, Dmitry Sorokin, Maciej Sypetkowski, Michal Sypetkowski:
Insights From the NeurIPS 2021 NetHack Challenge. NeurIPS (Competition and Demos) 2021: 41-52 - [c45]Minqi Jiang, Michael Dennis, Jack Parker-Holder, Jakob N. Foerster, Edward Grefenstette, Tim Rocktäschel:
Replay-Guided Adversarial Environment Design. NeurIPS 2021: 1884-1897 - [c44]Mikayel Samvelyan, Robert Kirk, Vitaly Kurin, Jack Parker-Holder, Minqi Jiang, Eric Hambro, Fabio Petroni, Heinrich Küttler, Edward Grefenstette, Tim Rocktäschel:
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research. NeurIPS Datasets and Benchmarks 2021 - [p2]Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp, Edward Grefenstette, Tim Rocktäschel:
Learning Reasoning Strategies in End-to-End Differentiable Proving. Neuro-Symbolic Artificial Intelligence 2021: 280-293 - [i46]Zhengyao Jiang, Pasquale Minervini, Minqi Jiang, Tim Rocktäschel:
Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning. CoRR abs/2102.04220 (2021) - [i45]Danielle Rothermel, Margaret Li, Tim Rocktäschel, Jakob N. Foerster:
Don't Sweep your Learning Rate under the Rug: A Closer Look at Cross-modal Transfer of Pretrained Transformers. CoRR abs/2107.12460 (2021) - [i44]Mikayel Samvelyan, Robert Kirk, Vitaly Kurin, Jack Parker-Holder, Minqi Jiang, Eric Hambro, Fabio Petroni, Heinrich Küttler, Edward Grefenstette, Tim Rocktäschel:
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research. CoRR abs/2109.13202 (2021) - [i43]Minqi Jiang, Michael Dennis, Jack Parker-Holder, Jakob N. Foerster, Edward Grefenstette, Tim Rocktäschel:
Replay-Guided Adversarial Environment Design. CoRR abs/2110.02439 (2021) - [i42]Robert Kirk, Amy Zhang, Edward Grefenstette, Tim Rocktäschel:
A Survey of Generalisation in Deep Reinforcement Learning. CoRR abs/2111.09794 (2021) - 2020
- [j4]Leon Weber, Jannes Münchmeyer, Tim Rocktäschel, Maryam Habibi, Ulf Leser:
HUNER: improving biomedical NER with pretraining. Bioinform. 36(1): 295-302 (2020) - [c43]Angela Fan, Jack Urbanek, Pratik Ringshia, Emily Dinan, Emma Qian, Siddharth Karamcheti, Shrimai Prabhumoye, Douwe Kiela, Tim Rocktäschel, Arthur Szlam, Jason Weston:
Generating Interactive Worlds with Text. AAAI 2020: 1693-1700 - [c42]Pasquale Minervini, Matko Bosnjak, Tim Rocktäschel, Sebastian Riedel, Edward Grefenstette:
Differentiable Reasoning on Large Knowledge Bases and Natural Language. AAAI 2020: 5182-5190 - [c41]Fabio Petroni, Patrick S. H. Lewis, Aleksandra Piktus, Tim Rocktäschel, Yuxiang Wu, Alexander H. Miller, Sebastian Riedel:
How Context Affects Language Models' Factual Predictions. AKBC 2020 - [c40]Luca Massarelli, Fabio Petroni, Aleksandra Piktus, Myle Ott, Tim Rocktäschel, Vassilis Plachouras, Fabrizio Silvestri, Sebastian Riedel:
How Decoding Strategies Affect the Verifiability of Generated Text. EMNLP (Findings) 2020: 223-235 - [c39]Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Sebastian Riedel, Tim Rocktäschel:
Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training. EMNLP (1) 2020: 8281-8291 - [c38]Roberta Raileanu, Tim Rocktäschel:
RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments. ICLR 2020 - [c37]Victor Zhong, Tim Rocktäschel, Edward Grefenstette:
RTFM: Generalising to New Environment Dynamics via Reading. ICLR 2020 - [c36]Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp, Edward Grefenstette, Tim Rocktäschel:
Learning Reasoning Strategies in End-to-End Differentiable Proving. ICML 2020: 6938-6949 - [c35]Heinrich Küttler, Nantas Nardelli, Alexander H. Miller, Roberta Raileanu, Marco Selvatici, Edward Grefenstette, Tim Rocktäschel:
The NetHack Learning Environment. NeurIPS 2020 - [c34]Patrick S. H. Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, Douwe Kiela:
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. NeurIPS 2020 - [p1]Pasquale Minervini, Matko Bosnjak, Tim Rocktäschel, Sebastian Riedel, Edward Grefenstette:
Differentiable Reasoning on Large Knowledge Bases and Natural Language. Knowledge Graphs for eXplainable Artificial Intelligence 2020: 125-142 - [i41]Roberta Raileanu, Tim Rocktäschel:
RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments. CoRR abs/2002.12292 (2020) - [i40]Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Sebastian Riedel, Tim Rocktäschel:
There is Strength in Numbers: Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training. CoRR abs/2004.07790 (2020) - [i39]Fabio Petroni, Patrick S. H. Lewis, Aleksandra Piktus, Tim Rocktäschel, Yuxiang Wu, Alexander H. Miller, Sebastian Riedel:
How Context Affects Language Models' Factual Predictions. CoRR abs/2005.04611 (2020) - [i38]Patrick S. H. Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, Douwe Kiela:
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. CoRR abs/2005.11401 (2020) - [i37]Andres Campero, Roberta Raileanu, Heinrich Küttler, Joshua B. Tenenbaum, Tim Rocktäschel, Edward Grefenstette:
Learning with AMIGo: Adversarially Motivated Intrinsic Goals. CoRR abs/2006.12122 (2020) - [i36]Heinrich Küttler, Nantas Nardelli, Alexander H. Miller, Roberta Raileanu, Marco Selvatici, Edward Grefenstette, Tim Rocktäschel:
The NetHack Learning Environment. CoRR abs/2006.13760 (2020) - [i35]Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp, Edward Grefenstette, Tim Rocktäschel:
Learning Reasoning Strategies in End-to-End Differentiable Proving. CoRR abs/2007.06477 (2020) - [i34]Minqi Jiang, Jelena Luketina, Nantas Nardelli, Pasquale Minervini, Philip H. S. Torr, Shimon Whiteson, Tim Rocktäschel:
WordCraft: An Environment for Benchmarking Commonsense Agents. CoRR abs/2007.09185 (2020) - [i33]Fabio Petroni, Aleksandra Piktus, Angela Fan, Patrick S. H. Lewis, Majid Yazdani, Nicola De Cao, James Thorne, Yacine Jernite, Vassilis Plachouras, Tim Rocktäschel, Sebastian Riedel:
KILT: a Benchmark for Knowledge Intensive Language Tasks. CoRR abs/2009.02252 (2020) - [i32]Prithviraj Ammanabrolu, Jack Urbanek, Margaret Li, Arthur Szlam, Tim Rocktäschel, Jason Weston:
How to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and Act in Fantasy Worlds. CoRR abs/2010.00685 (2020) - [i31]Vitaly Kurin, Maximilian Igl, Tim Rocktäschel, Wendelin Boehmer, Shimon Whiteson:
My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control. CoRR abs/2010.01856 (2020) - [i30]Minqi Jiang, Edward Grefenstette, Tim Rocktäschel:
Prioritized Level Replay. CoRR abs/2010.03934 (2020)
2010 – 2019
- 2019
- [c33]Leon Weber, Pasquale Minervini, Jannes Münchmeyer, Ulf Leser, Tim Rocktäschel:
NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language. ACL (1) 2019: 6151-6161 - [c32]Jack Urbanek, Angela Fan, Siddharth Karamcheti, Saachi Jain, Samuel Humeau, Emily Dinan, Tim Rocktäschel, Douwe Kiela, Arthur Szlam, Jason Weston:
Learning to Speak and Act in a Fantasy Text Adventure Game. EMNLP/IJCNLP (1) 2019: 673-683 - [c31]Fabio Petroni, Tim Rocktäschel, Sebastian Riedel, Patrick S. H. Lewis, Anton Bakhtin, Yuxiang Wu, Alexander H. Miller:
Language Models as Knowledge Bases? EMNLP/IJCNLP (1) 2019: 2463-2473 - [c30]Alistair Letcher, Jakob N. Foerster, David Balduzzi, Tim Rocktäschel, Shimon Whiteson:
Stable Opponent Shaping in Differentiable Games. ICLR (Poster) 2019 - [c29]Jingkai Mao, Jakob N. Foerster, Tim Rocktäschel, Maruan Al-Shedivat, Gregory Farquhar, Shimon Whiteson:
A Baseline for Any Order Gradient Estimation in Stochastic Computation Graphs. ICML 2019: 4343-4351 - [c28]Jelena Luketina, Nantas Nardelli, Gregory Farquhar, Jakob N. Foerster, Jacob Andreas, Edward Grefenstette, Shimon Whiteson, Tim Rocktäschel:
A Survey of Reinforcement Learning Informed by Natural Language. IJCAI 2019: 6309-6317 - [c27]Alexander I. Cowen-Rivers, Pasquale Minervini, Sebastian Riedel, Tim Rocktäschel, Jun Wang, Matko Bosnjak:
Neural Variational Inference For Estimating Knowledge Graph Embedding Uncertainty. NeSy@IJCAI 2019 - [i29]Jack Urbanek, Angela Fan, Siddharth Karamcheti, Saachi Jain, Samuel Humeau, Emily Dinan, Tim Rocktäschel, Douwe Kiela, Arthur Szlam, Jason Weston:
Learning to Speak and Act in a Fantasy Text Adventure Game. CoRR abs/1903.03094 (2019) - [i28]Jelena Luketina, Nantas Nardelli, Gregory Farquhar, Jakob N. Foerster, Jacob Andreas, Edward Grefenstette, Shimon Whiteson, Tim Rocktäschel:
A Survey of Reinforcement Learning Informed by Natural Language. CoRR abs/1906.03926 (2019) - [i27]Alexander I. Cowen-Rivers, Pasquale Minervini, Tim Rocktäschel, Matko Bosnjak, Sebastian Riedel, Jun Wang:
Neural Variational Inference For Estimating Uncertainty in Knowledge Graph Embeddings. CoRR abs/1906.04985 (2019) - [i26]Leon Weber, Pasquale Minervini, Jannes Münchmeyer, Ulf Leser, Tim Rocktäschel:
NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language. CoRR abs/1906.06187 (2019) - [i25]Fabio Petroni, Tim Rocktäschel, Patrick S. H. Lewis, Anton Bakhtin, Yuxiang Wu, Alexander H. Miller, Sebastian Riedel:
Language Models as Knowledge Bases? CoRR abs/1909.01066 (2019) - [i24]Heinrich Küttler, Nantas Nardelli, Thibaut Lavril, Marco Selvatici, Viswanath Sivakumar, Tim Rocktäschel, Edward Grefenstette:
TorchBeast: A PyTorch Platform for Distributed RL. CoRR abs/1910.03552 (2019) - [i23]Viswanath Sivakumar, Tim Rocktäschel, Alexander H. Miller, Heinrich Küttler, Nantas Nardelli, Mike Rabbat, Joelle Pineau, Sebastian Riedel:
MVFST-RL: An Asynchronous RL Framework for Congestion Control with Delayed Actions. CoRR abs/1910.04054 (2019) - [i22]Victor Zhong, Tim Rocktäschel, Edward Grefenstette:
RTFM: Generalising to Novel Environment Dynamics via Reading. CoRR abs/1910.08210 (2019) - [i21]Luca Massarelli, Fabio Petroni, Aleksandra Piktus, Myle Ott, Tim Rocktäschel, Vassilis Plachouras, Fabrizio Silvestri, Sebastian Riedel:
How Decoding Strategies Affect the Verifiability of Generated Text. CoRR abs/1911.03587 (2019) - [i20]Angela Fan, Jack Urbanek, Pratik Ringshia, Emily Dinan, Emma Qian, Siddharth Karamcheti, Shrimai Prabhumoye, Douwe Kiela, Tim Rocktäschel, Arthur Szlam, Jason Weston:
Generating Interactive Worlds with Text. CoRR abs/1911.09194 (2019) - [i19]Pasquale Minervini, Matko Bosnjak, Tim Rocktäschel, Sebastian Riedel, Edward Grefenstette:
Differentiable Reasoning on Large Knowledge Bases and Natural Language. CoRR abs/1912.10824 (2019) - 2018
- [b1]Tim Rocktäschel:
Combining representation learning with logic for language processing. University College London, UK, 2018 - [c26]Dirk Weissenborn, Pasquale Minervini, Isabelle Augenstein, Johannes Welbl, Tim Rocktäschel, Matko Bosnjak, Jeff Mitchell, Thomas Demeester, Tim Dettmers, Pontus Stenetorp, Sebastian Riedel:
Jack the Reader - A Machine Reading Framework. ACL (4) 2018: 25-30 - [c25]Marzieh Saeidi, Max Bartolo, Patrick S. H. Lewis, Sameer Singh, Tim Rocktäschel, Mike Sheldon, Guillaume Bouchard, Sebastian Riedel:
Interpretation of Natural Language Rules in Conversational Machine Reading. EMNLP 2018: 2087-2097 - [c24]Gregory Farquhar, Tim Rocktäschel, Maximilian Igl, Shimon Whiteson:
TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning. ICLR (Poster) 2018 - [c23]Jakob N. Foerster, Gregory Farquhar, Maruan Al-Shedivat, Tim Rocktäschel, Eric P. Xing, Shimon Whiteson:
DiCE: The Infinitely Differentiable Monte-Carlo Estimator. ICLR (Workshop) 2018 - [c22]Jakob N. Foerster, Gregory Farquhar, Maruan Al-Shedivat, Tim Rocktäschel, Eric P. Xing, Shimon Whiteson:
DiCE: The Infinitely Differentiable Monte Carlo Estimator. ICML 2018: 1524-1533 - [c21]Oana-Maria Camburu, Tim Rocktäschel, Thomas Lukasiewicz, Phil Blunsom:
e-SNLI: Natural Language Inference with Natural Language Explanations. NeurIPS 2018: 9560-9572 - [i18]Jakob N. Foerster, Gregory Farquhar, Maruan Al-Shedivat, Tim Rocktäschel, Eric P. Xing, Shimon Whiteson:
DiCE: The Infinitely Differentiable Monte-Carlo Estimator. CoRR abs/1802.05098 (2018) - [i17]Dirk Weissenborn, Pasquale Minervini, Tim Dettmers, Isabelle Augenstein, Johannes Welbl, Tim Rocktäschel, Matko Bosnjak, Jeff Mitchell, Thomas Demeester, Pontus Stenetorp, Sebastian Riedel:
Jack the Reader - A Machine Reading Framework. CoRR abs/1806.08727 (2018) - [i16]Pasquale Minervini, Matko Bosnjak, Tim Rocktäschel, Sebastian Riedel:
Towards Neural Theorem Proving at Scale. CoRR abs/1807.08204 (2018) - [i15]Marzieh Saeidi, Max Bartolo, Patrick S. H. Lewis, Sameer Singh, Tim Rocktäschel, Mike Sheldon, Guillaume Bouchard, Sebastian Riedel:
Interpretation of Natural Language Rules in Conversational Machine Reading. CoRR abs/1809.01494 (2018) - [i14]Alistair Letcher, Jakob N. Foerster, David Balduzzi, Tim Rocktäschel, Shimon Whiteson:
Stable Opponent Shaping in Differentiable Games. CoRR abs/1811.08469 (2018) - [i13]Oana-Maria Camburu, Tim Rocktäschel, Thomas Lukasiewicz, Phil Blunsom:
e-SNLI: Natural Language Inference with Natural Language Explanations. CoRR abs/1812.01193 (2018) - 2017
- [c20]Matko Bosnjak, Tim Rocktäschel, Jason Naradowsky, Sebastian Riedel:
Programming With a Differentiable Forth Interpreter. ICLR (Workshop) 2017 - [c19]Michal Daniluk, Tim Rocktäschel, Johannes Welbl, Sebastian Riedel:
Frustratingly Short Attention Spans in Neural Language Modeling. ICLR (Poster) 2017 - [c18]Matko Bosnjak, Tim Rocktäschel, Jason Naradowsky, Sebastian Riedel:
Programming with a Differentiable Forth Interpreter. ICML 2017: 547-556 - [c17]Tim Rocktäschel, Sebastian Riedel:
End-to-end Differentiable Proving. NIPS 2017: 3788-3800 - [c16]Pasquale Minervini, Thomas Demeester, Tim Rocktäschel, Sebastian Riedel:
Adversarial Sets for Regularising Neural Link Predictors. UAI 2017 - [i12]Michal Daniluk, Tim Rocktäschel, Johannes Welbl, Sebastian Riedel:
Frustratingly Short Attention Spans in Neural Language Modeling. CoRR abs/1702.04521 (2017) - [i11]Tim Rocktäschel, Sebastian Riedel:
End-to-end Differentiable Proving. CoRR abs/1705.11040 (2017) - [i10]Pasquale Minervini, Thomas Demeester, Tim Rocktäschel, Sebastian Riedel:
Adversarial Sets for Regularising Neural Link Predictors. CoRR abs/1707.07596 (2017) - [i9]Gregory Farquhar, Tim Rocktäschel, Maximilian Igl, Shimon Whiteson:
TreeQN and ATreeC: Differentiable Tree Planning for Deep Reinforcement Learning. CoRR abs/1710.11417 (2017) - [i8]Tim Rocktäschel:
Combining Representation Learning with Logic for Language Processing. CoRR abs/1712.09687 (2017) - 2016
- [j3]Philippe Thomas, Tim Rocktäschel, Jörg Hakenberg, Yvonne Lichtblau, Ulf Leser:
SETH detects and normalizes genetic variants in text. Bioinform. 32(18): 2883-2885 (2016) - [c15]Ben Eisner, Tim Rocktäschel, Isabelle Augenstein, Matko Bosnjak, Sebastian Riedel:
emoji2vec: Learning Emoji Representations from their Description. SocialNLP@EMNLP 2016: 48-54 - [c14]Tim Rocktäschel, Sebastian Riedel:
Learning Knowledge Base Inference with Neural Theorem Provers. AKBC@NAACL-HLT 2016: 45-50 - [c13]Thomas Demeester, Tim Rocktäschel, Sebastian Riedel:
Regularizing Relation Representations by First-order Implications. AKBC@NAACL-HLT 2016: 75-80 - [c12]Isabelle Augenstein, Tim Rocktäschel, Andreas Vlachos, Kalina Bontcheva:
Stance Detection with Bidirectional Conditional Encoding. EMNLP 2016: 876-885 - [c11]Thomas Demeester, Tim Rocktäschel, Sebastian Riedel:
Lifted Rule Injection for Relation Embeddings. EMNLP 2016: 1389-1399 - [c10]Tim Rocktäschel, Edward Grefenstette, Karl Moritz Hermann, Tomás Kociský, Phil Blunsom:
Reasoning about Entailment with Neural Attention. ICLR (Poster) 2016 - [e1]Jay Pujara, Tim Rocktäschel, Danqi Chen, Sameer Singh:
Proceedings of the 5th Workshop on Automated Knowledge Base Construction, AKBC@NAACL-HLT 2016, San Diego, CA, USA, June 17, 2016. The Association for Computer Linguistics 2016, ISBN 978-1-941643-53-2 [contents] - [i7]Sebastian Riedel, Matko Bosnjak, Tim Rocktäschel:
Programming with a Differentiable Forth Interpreter. CoRR abs/1605.06640 (2016) - [i6]Vladyslav Kolesnyk, Tim Rocktäschel, Sebastian Riedel:
Generating Natural Language Inference Chains. CoRR abs/1606.01404 (2016) - [i5]Dirk Weissenborn, Tim Rocktäschel:
MuFuRU: The Multi-Function Recurrent Unit. CoRR abs/1606.03002 (2016) - [i4]Isabelle Augenstein, Tim Rocktäschel, Andreas Vlachos, Kalina Bontcheva:
Stance Detection with Bidirectional Conditional Encoding. CoRR abs/1606.05464 (2016) - [i3]Thomas Demeester, Tim Rocktäschel, Sebastian Riedel:
Lifted Rule Injection for Relation Embeddings. CoRR abs/1606.08359 (2016) - [i2]Ben Eisner, Tim Rocktäschel, Isabelle Augenstein, Matko Bosnjak, Sebastian Riedel:
emoji2vec: Learning Emoji Representations from their Description. CoRR abs/1609.08359 (2016) - [i1]Avishkar Bhoopchand, Tim Rocktäschel, Earl T. Barr, Sebastian Riedel:
Learning Python Code Suggestion with a Sparse Pointer Network. CoRR abs/1611.08307 (2016) - 2015
- [j2]Martin Krallinger, Obdulia Rabal, Florian Leitner, Miguel Vazquez, David Salgado, Zhiyong Lu, Robert Leaman, Yanan Lu, Donghong Ji, Daniel M. Lowe, Roger A. Sayle, Riza Theresa Batista-Navarro, Rafal Rak, Torsten Huber, Tim Rocktäschel, Sérgio Matos, David Campos, Buzhou Tang, Hua Xu, Tsendsuren Munkhdalai, Keun Ho Ryu, S. V. Ramanan, P. Senthil Nathan, Slavko Zitnik, Marko Bajec, Lutz Weber, Matthias Irmer, Saber A. Akhondi, Jan A. Kors, Shuo Xu, Xin An, Utpal Kumar Sikdar, Asif Ekbal, Masaharu Yoshioka, Thaer M. Dieb, Miji Choi, Karin Verspoor, Madian Khabsa, C. Lee Giles, Hongfang Liu, Ravikumar Komandur Elayavilli, Andre Lamurias, Francisco M. Couto, Hong-Jie Dai, Richard Tzong-Han Tsai, Caglar Ata, Tolga Can, Anabel Usie, Rui Alves, Isabel Segura-Bedmar, Paloma Martínez, Julen Oyarzabal, Alfonso Valencia:
The CHEMDNER corpus of chemicals and drugs and its annotation principles. J. Cheminformatics 7(S-1): S2 (2015) - [c9]Vicente Iván Sánchez Carmona, Tim Rocktäschel, Sebastian Riedel, Sameer Singh:
Towards Extracting Faithful and Descriptive Representations of Latent Variable Models. AAAI Spring Symposia 2015 - [c8]Guillaume Bouchard, Jason Naradowsky, Sebastian Riedel, Tim Rocktäschel, Andreas Vlachos:
Matrix and Tensor Factorization Methods for Natural Language Processing. ACL (Tutorial Abstracts) 2015: 16-18 - [c7]Sameer Singh, Tim Rocktäschel, Luke Hewitt, Jason Naradowsky, Sebastian Riedel:
WOLFE: An NLP-friendly Declarative Machine Learning Stack. HLT-NAACL 2015: 61-65 - [c6]Sameer Singh, Tim Rocktäschel, Sebastian Riedel:
Towards Combined Matrix and Tensor Factorization for Universal Schema Relation Extraction. VS@HLT-NAACL 2015: 135-142 - [c5]Tim Rocktäschel, Sameer Singh, Sebastian Riedel:
Injecting Logical Background Knowledge into Embeddings for Relation Extraction. HLT-NAACL 2015: 1119-1129 - [c4]Sebastian Riedel, Sameer Singh, Guillaume Bouchard, Tim Rocktäschel, Vicente Iván Sánchez Carmona:
Towards Two-Way Interaction with Reading Machines. SLSP 2015: 1-7 - 2014
- [c3]Sebastian Riedel, Sameer Singh, Vivek Srikumar, Tim Rocktäschel, Larysa Visengeriyeva, Jan Noessner:
WOLFE: Strength Reduction and Approximate Programming for Probabilistic Programming. StarAI@AAAI 2014 - 2013
- [c2]Tim Rocktäschel, Torsten Huber, Michael Weidlich, Ulf Leser:
WBI-NER: The impact of domain-specific features on the performance of identifying and classifying mentions of drugs. SemEval@NAACL-HLT 2013: 356-363 - [c1]Philippe Thomas, Mariana L. Neves, Tim Rocktäschel, Ulf Leser:
WBI-DDI: Drug-Drug Interaction Extraction using Majority Voting. SemEval@NAACL-HLT 2013: 628-635 - 2012
- [j1]Tim Rocktäschel, Michael Weidlich, Ulf Leser:
ChemSpot: a hybrid system for chemical named entity recognition. Bioinform. 28(12): 1633-1640 (2012)
Coauthor Index
aka: Michael D. Dennis
aka: Jakob Nicolaus Foerster
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