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Minqi Jiang
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2020 – today
- 2024
- [c24]Mikayel Samvelyan, Davide Paglieri, Minqi Jiang, Jack Parker-Holder, Tim Rocktäschel:
Multi-Agent Diagnostics for Robustness via Illuminated Diversity. AAMAS 2024: 1630-1644 - [c23]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 - [c22]Chaoli Zhang
, Yingying Zhang
Advancing Multivariate Time Series Anomaly Detection: A Comprehensive Benchmark with Real-World Data from Alibaba Cloud. CIKM 2024: 5410-5414 - [c21]Ishita Mediratta, Qingfei You, Minqi Jiang, Roberta Raileanu:
The Generalization Gap in Offline Reinforcement Learning. ICLR 2024 - [c20]Marc Rigter, Minqi Jiang, Ingmar Posner:
Reward-Free Curricula for Training Robust World Models. ICLR 2024 - [c19]Dominik Schmidt
Learning to Act without Actions. ICLR 2024 - [c18]Michael Beukman, Samuel Coward, Michael T. Matthews, Mattie Fellows, Minqi Jiang, Michael D. Dennis, Jakob Nicolaus Foerster:
Refining Minimax Regret for Unsupervised Environment Design. ICML 2024 - [i29]Mikayel Samvelyan, Davide Paglieri, Minqi Jiang, Jack Parker-Holder, Tim Rocktäschel:
Multi-Agent Diagnostics for Robustness via Illuminated Diversity. CoRR abs/2401.13460 (2024) - [i28]Michael Beukman, Samuel Coward, Michael T. Matthews, Mattie Fellows, Minqi Jiang, Michael Dennis, Jakob N. Foerster:
Refining Minimax Regret for Unsupervised Environment Design. CoRR abs/2402.12284 (2024) - [i27]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) - 2023
- [c17]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 - [c16]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 - [c15]Mikael Henaff, Minqi Jiang, Roberta Raileanu:
A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs. ICML 2023: 12972-12999 - [c14]Minqi Jiang
Anomaly Detection with Score Distribution Discrimination. KDD 2023: 984-996 - [c13]Matthew Thomas Jackson, Minqi Jiang, Jack Parker-Holder, Risto Vuorio, Chris Lu, Gregory Farquhar, Shimon Whiteson, Jakob N. Foerster:
Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design. NeurIPS 2023 - [c12]Minqi Jiang, Chaochuan Hou, Ao Zheng, Songqiao Han, Hailiang Huang, Qingsong Wen, Xiyang Hu, Yue Zhao:
ADGym: Design Choices for Deep Anomaly Detection. NeurIPS 2023 - [i26]Biyang Guo, Xin Zhang, Ziyuan Wang, Minqi Jiang, Jinran Nie, Yuxuan Ding, Jianwei Yue, Yupeng Wu:
How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection. CoRR abs/2301.07597 (2023) - [i25]Minqi Jiang, Chaochuan Hou, Ao Zheng, Xiyang Hu, Songqiao Han, Hailiang Huang, Xiangnan He, Philip S. Yu, Yue Zhao:
Weakly Supervised Anomaly Detection: A Survey. CoRR abs/2302.04549 (2023) - [i24]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) - [i23]Mikael Henaff, Minqi Jiang, Roberta Raileanu:
A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs. CoRR abs/2306.03236 (2023) - [i22]Marc Rigter, Minqi Jiang, Ingmar Posner:
Reward-Free Curricula for Training Robust World Models. CoRR abs/2306.09205 (2023) - [i21]Minqi Jiang, Songqiao Han, Hailiang Huang:
Anomaly Detection with Score Distribution Discrimination. CoRR abs/2306.14403 (2023) - [i20]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) - [i19]Minqi Jiang, Chaochuan Hou, Ao Zheng, Songqiao Han, Hailiang Huang, Qingsong Wen
ADGym: Design Choices for Deep Anomaly Detection. CoRR abs/2309.15376 (2023) - [i18]Matthew Thomas Jackson, Minqi Jiang, Jack Parker-Holder, Risto Vuorio, Chris Lu, Gregory Farquhar, Shimon Whiteson, Jakob Nicolaus Foerster:
Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design. CoRR abs/2310.02782 (2023) - [i17]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) - [i16]Minqi Jiang, Michael Dennis, Edward Grefenstette, Tim Rocktäschel:
minimax: Efficient Baselines for Autocurricula in JAX. CoRR abs/2311.12716 (2023) - [i15]Minqi Jiang:
Learning Curricula in Open-Ended Worlds. CoRR abs/2312.03126 (2023) - [i14]Ishita Mediratta, Qingfei You, Minqi Jiang, Roberta Raileanu:
The Generalization Gap in Offline Reinforcement Learning. CoRR abs/2312.05742 (2023) - [i13]Dominik Schmidt
Learning to Act without Actions. CoRR abs/2312.10812 (2023) - 2022
- [c11]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 - [c10]Christopher Bamford, Minqi Jiang, Mikayel Samvelyan, Tim Rocktäschel:
GriddlyJS: A Web IDE for Reinforcement Learning. NeurIPS 2022 - [c9]Songqiao Han, Xiyang Hu, Hailiang Huang, Minqi Jiang, Yue Zhao:
ADBench: Anomaly Detection Benchmark. NeurIPS 2022 - [c8]Mikael Henaff, Roberta Raileanu, Minqi Jiang, Tim Rocktäschel:
Exploration via Elliptical Episodic Bonuses. NeurIPS 2022 - [c7]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 - [c6]Jesse Mu, Victor Zhong, Roberta Raileanu, Minqi Jiang, Noah D. Goodman, Tim Rocktäschel, Edward Grefenstette:
Improving Intrinsic Exploration with Language Abstractions. NeurIPS 2022 - [i12]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) - [i11]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) - [i10]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
Insights From the NeurIPS 2021 NetHack Challenge. CoRR abs/2203.11889 (2022) - [i9]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) - [i8]Christopher Bamford, Minqi Jiang, Mikayel Samvelyan, Tim Rocktäschel:
GriddlyJS: A Web IDE for Reinforcement Learning. CoRR abs/2207.06105 (2022) - [i7]Mikael Henaff, Roberta Raileanu, Minqi Jiang, Tim Rocktäschel:
Exploration via Elliptical Episodic Bonuses. CoRR abs/2210.05805 (2022) - [i6]Minqi Jiang, Tim Rocktäschel, Edward Grefenstette:
General Intelligence Requires Rethinking Exploration. CoRR abs/2211.07819 (2022) - 2021
- [c5]Zhengyao Jiang, Pasquale Minervini, Minqi Jiang, Tim Rocktäschel:
Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning. AAMAS 2021: 674-682 - [c4]Minqi Jiang, Edward Grefenstette, Tim Rocktäschel:
Prioritized Level Replay. ICML 2021: 4940-4950 - [c3]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 - [c2]Minqi Jiang, Michael Dennis, Jack Parker-Holder, Jakob N. Foerster, Edward Grefenstette, Tim Rocktäschel:
Replay-Guided Adversarial Environment Design. NeurIPS 2021: 1884-1897 - [c1]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 - [i5]Zhengyao Jiang, Pasquale Minervini, Minqi Jiang, Tim Rocktäschel:
Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning. CoRR abs/2102.04220 (2021) - [i4]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) - [i3]Minqi Jiang, Michael Dennis, Jack Parker-Holder, Jakob N. Foerster, Edward Grefenstette, Tim Rocktäschel:
Replay-Guided Adversarial Environment Design. CoRR abs/2110.02439 (2021) - 2020
- [i2]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) - [i1]Minqi Jiang, Edward Grefenstette, Tim Rocktäschel:
Prioritized Level Replay. CoRR abs/2010.03934 (2020)
Coauthor Index
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last updated on 2024-12-12 20:54 CET by the dblp team
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