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Pradyumna Tambwekar
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2020 – today
- 2024
- [j3]Esmaeil Seraj, Kin Man Lee, Zulfiqar Zaidi, Qingyu Xiao, Zhaoxin Li, Arthur Nascimento, Sanne van Waveren, Pradyumna Tambwekar, Rohan R. Paleja, Devleena Das, Matthew C. Gombolay:
Interactive and Explainable Robot Learning: A Comprehensive Review. Found. Trends Robotics 12(2-3): 75-349 (2024) - [j2]Lakshita Dodeja, Pradyumna Tambwekar
, Erin Hedlund-Botti
Towards the design of user-centric strategy recommendation systems for collaborative Human-AI tasks. Int. J. Hum. Comput. Stud. 184: 103216 (2024) - [c7]Andrew Silva
Towards Balancing Preference and Performance through Adaptive Personalized Explainability. HRI 2024: 658-668 - [i9]Kamel Alrashedy, Pradyumna Tambwekar, Zulfiqar Zaidi, Megan Langwasser, Wei Xu, Matthew C. Gombolay:
Generating CAD Code with Vision-Language Models for 3D Designs. CoRR abs/2410.05340 (2024) - 2023
- [j1]Pradyumna Tambwekar
Natural Language Specification of Reinforcement Learning Policies Through Differentiable Decision Trees. IEEE Robotics Autom. Lett. 8(6): 3621-3628 (2023) - [c6]Andrew Silva, Pradyumna Tambwekar, Matthew C. Gombolay:
FedPerC: Federated Learning for Language Generation with Personal and Context Preference Embeddings. EACL (Findings) 2023: 839-852 - [c5]Pradyumna Tambwekar, Lakshita Dodeja, Nathan Vaska, Wei Xu, Matthew C. Gombolay:
A Computational Interface to Translate Strategic Intent from Unstructured Language in a Low-Data Setting. EMNLP (Findings) 2023: 12801-12819 - [i8]Pradyumna Tambwekar, Matthew C. Gombolay:
Towards Reconciling Usability and Usefulness of Explainable AI Methodologies. CoRR abs/2301.05347 (2023) - [i7]Lakshita Dodeja, Pradyumna Tambwekar, Erin Hedlund-Botti, Matthew C. Gombolay:
Towards the design of user-centric strategy recommendation systems for collaborative Human-AI tasks. CoRR abs/2301.08144 (2023) - 2022
- [i6]Pradyumna Tambwekar, Nathan Vaska, Lakshita Dodeja, Matthew C. Gombolay:
Commander's Intent: A Dataset and Modeling Approach for Human-AI Task Specification in Strategic Play. CoRR abs/2208.08374 (2022) - [i5]Andrew Silva, Pradyumna Tambwekar, Matthew C. Gombolay:
FedPC: Federated Learning for Language Generation with Personal and Context Preference Embeddings. CoRR abs/2210.03766 (2022) - 2021
- [c4]Andrew Silva, Pradyumna Tambwekar, Matthew C. Gombolay:
Towards a Comprehensive Understanding and Accurate Evaluation of Societal Biases in Pre-Trained Transformers. NAACL-HLT 2021: 2383-2389 - [i4]Pradyumna Tambwekar, Andrew Silva, Nakul Gopalan, Matthew C. Gombolay:
Interpretable Policy Specification and Synthesis through Natural Language and RL. CoRR abs/2101.07140 (2021)
2010 – 2019
- 2019
- [c3]Pradyumna Tambwekar, Murtaza Dhuliawala, Lara J. Martin
Controllable Neural Story Plot Generation via Reward Shaping. IJCAI 2019: 5982-5988 - [c2]Upol Ehsan, Pradyumna Tambwekar, Larry Chan, Brent Harrison, Mark O. Riedl:
Automated rationale generation: a technique for explainable AI and its effects on human perceptions. IUI 2019: 263-274 - [i3]Upol Ehsan, Pradyumna Tambwekar, Larry Chan, Brent Harrison, Mark O. Riedl:
Automated Rationale Generation: A Technique for Explainable AI and its Effects on Human Perceptions. CoRR abs/1901.03729 (2019) - 2018
- [c1]Upol Ehsan, Pradyumna Tambwekar, Larry Chan, Brent Harrison, Mark O. Riedl:
Learning to Generate Natural Language Rationales for Game Playing Agents. AIIDE Workshops 2018 - [i2]Pradyumna Tambwekar, Murtaza Dhuliawala, Animesh Mehta, Lara J. Martin, Brent Harrison, Mark O. Riedl:
Controllable Neural Story Generation via Reinforcement Learning. CoRR abs/1809.10736 (2018) - 2015
- [i1]Andreas Veit, Michael J. Wilber, Rajan Vaish, Serge J. Belongie, James Davis, Vishal Anand, Anshu Aviral, Prithvijit Chakrabarty, Yash Chandak, Sidharth Chaturvedi, Chinmaya Devaraj, Ankit Dhall
On Optimizing Human-Machine Task Assignments. CoRR abs/1509.07543 (2015)
Coauthor Index
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