Gokul Swamy

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Zhiwei Steven WuCarnegie Mellon UniversityVerified email at andrew.cmu.edu
J. Andrew BagnellCarnegie Mellon UniversityVerified email at ri.cmu.edu
Sanjiban ChoudhuryAssistant Professor, CornellVerified email at cornell.edu
Anca D DraganAssistant Professor at UC Berkeley // Director, AI Safety and Alignment, Google DeepMindVerified email at berkeley.edu
Dylan Hadfield-MenellMassachusetts Institute of TechnologyVerified email at csail.mit.edu
Wen SunAssistant Professor, Cornell UniversityVerified email at cornell.edu
Sergey LevineUC Berkeley, Physical IntelligenceVerified email at eecs.berkeley.edu
Kianté BrantleyAssistant Professor, Harvard UniversityVerified email at g.harvard.edu
Christoph DannResearch Scientist, GoogleVerified email at google.com
Siddharth ReddyVerified email at siddharth.io
Wenhao ZhanGraduate Student, Princeton UniversityVerified email at princeton.edu
Zhaolin GaoCornell UniversityVerified email at cornell.edu
Jason D. LeeAssociate Professor of Electrical Engineering and Computer Science, Princeton UniversityVerified email at princeton.edu
Jonathan D. ChangResearch Scientist, Databricks MosaicVerified email at cornell.edu
Nived RajaramanEECS PhD student at UC BerkeleyVerified email at berkeley.edu
Thorsten JoachimsProfessor of Computer Science, Cornell UniversityVerified email at cs.cornell.edu
Owen OertellUndergraduate, Cornell UniversityVerified email at cornell.edu
Yuda SongCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Aarti SinghProfessor of Machine Learning Department, Carnegie Mellon UniversityVerified email at cmu.edu
Juntao RenCornell UniversityVerified email at cornell.edu

Gokul Swamy

PhD Candidate, Carnegie Mellon University

Verified email at andrew.cmu.edu - Homepage

Imitation Learning Reinforcement Learning RLHF


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Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap G Swamy, S Choudhury, JA Bagnell, ZS Wu 38th International Conference on Machine Learning (ICML), 2021	80*	2021
On the Utility of Model Learning in HRI G Swamy, J Schulz, R Choudhury, D Hadfield-Menell, A Dragan arXiv preprint arXiv:1901.01291, 2019	65*	2019
A Minimaximalist Approach to Reinforcement Learning from Human Feedback G Swamy, C Dann, R Kidambi, ZS Wu, A Agarwal arXiv preprint arXiv:2401.04056, 2024	52	2024
Scaled autonomy: Enabling human operators to control robot fleets G Swamy, S Reddy, S Levine, AD Dragan 2020 IEEE International Conference on Robotics and Automation (ICRA), 5942-5948, 2020	49	2020
Sequence model imitation learning with unobserved contexts G Swamy, S Choudhury, J Bagnell, SZ Wu Advances in Neural Information Processing Systems 35, 17665-17676, 2022	27	2022
Causal imitation learning under temporally correlated noise G Swamy, S Choudhury, D Bagnell, S Wu International Conference on Machine Learning, 20877-20890, 2022	27	2022
Inverse Reinforcement Learning without Reinforcement Learning G Swamy, S Choudhury, D Bagnell, S Wu International Conference on Machine Learning, 33299-33318, 2023	20	2023
Minimax Optimal Online Imitation Learning via Replay Estimation G Swamy, N Rajaraman, M Peng, S Choudhury, J Bagnell, SZ Wu, J Jiao, ... Advances in Neural Information Processing Systems 35, 7077-7088, 2022	17	2022
REBEL: Reinforcement Learning via Regressing Relative Rewards Z Gao, JD Chang, W Zhan, O Oertell, G Swamy, K Brantley, T Joachims, ... arXiv preprint arXiv:2404.16767, 2024	15	2024
Hybrid Inverse Reinforcement Learning J Ren, G Swamy, ZS Wu, JA Bagnell, S Choudhury arXiv preprint arXiv:2402.08848, 2024	9	2024
Learning Shared Safety Constraints from Multi-task Demonstrations K Kim, G Swamy, Z Liu, D Zhao, S Choudhury, SZ Wu Advances in Neural Information Processing Systems 36, 2024	7	2024
Understanding Preference Fine-Tuning Through the Lens of Coverage Y Song, G Swamy, A Singh, JA Bagnell, W Sun arXiv preprint arXiv:2406.01462, 2024	4*	2024
A Critique of Strictly Batch Imitation Learning G Swamy, S Choudhury, JA Bagnell, ZS Wu arXiv preprint arXiv:2110.02063, 2021	3	2021
Generative Models for Pose Transfer P Chao, A Li, G Swamy arXiv preprint arXiv:1806.09070, 2018	3	2018
EvIL: Evolution Strategies for Generalisable Imitation Learning S Sapora, G Swamy, C Lu, YW Teh, JN Foerster arXiv preprint arXiv:2406.11905, 2024	2	2024
Multi-Agent Imitation Learning: Value is Easy, Regret is Hard J Tang, G Swamy, F Fang, ZS Wu arXiv preprint arXiv:2406.04219, 2024	1	2024
Diffusing States and Matching Scores: A New Framework for Imitation Learning R Wu, Y Chen, G Swamy, K Brantley, W Sun arXiv preprint arXiv:2410.13855, 2024		2024
Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF Z Gao, W Zhan, JD Chang, G Swamy, K Brantley, JD Lee, W Sun arXiv preprint arXiv:2410.04612, 2024		2024
Efficient Inverse Reinforcement Learning without Compounding Errors NE Dice, G Swamy, S Choudhury, W Sun First Reinforcement Learning Safety Workshop, 2024		2024
Game-Theoretic Algorithms for Conditional Moment Matching G Swamy, S Choudhury, JA Bagnell, ZS Wu arXiv preprint arXiv:2208.09551, 2022		2022

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