Gokul Swamy - RankMe

36 papers A* 15Journal 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Back to Blackwell: Closing the Loop on Intransitivity in Multi-Objective Preference Fine-Tuning. CoRR Jiahao Zhang, Lujing Zhang, Keltin Grimes, Zhuohao Yu, Gokul Swamy, Zhiwei Steven Wu
2026	J	`jnl`	Gained in Translation: Privileged Pairwise Judges Enhance Multilingual Reasoning. CoRR Lintang Sutawika, Gokul Swamy, Zhiwei Steven Wu, Graham Neubig
2025	J	`jnl`	A Smooth Sea Never Made a Skilled SAILOR: Robust Imitation via Learning to Search. CoRR Arnav Kumar Jain, Vibhakar Mohta, Subin Kim, Atiksh Bhardwaj, Juntao Ren, Yunhai Feng, Sanjiban Choudhury, Gokul Swamy
2025	J	`jnl`	All Roads Lead to Likelihood: The Value of Reinforcement Learning in Fine-Tuning. CoRR Gokul Swamy, Sanjiban Choudhury, Wen Sun, Zhiwei Steven Wu, J. Andrew Bagnell
2025	A*	`conf`	Diffusing States and Matching Scores: A New Framework for Imitation Learning. ICLR Runzhe Wu, Yiding Chen, Gokul Swamy, Kianté Brantley, Wen Sun
2025	A*	`conf`	Efficient Imitation under Misspecification. ICLR Nicolas A. Espinosa Dice, Sanjiban Choudhury, Wen Sun, Gokul Swamy
2025	J	`jnl`	Efficient Imitation under Misspecification. CoRR Nicolas A. Espinosa Dice, Sanjiban Choudhury, Wen Sun, Gokul Swamy
2025	A*	`conf`	Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF. ICLR Zhaolin Gao, Wenhao Zhan, Jonathan Daniel Chang, Gokul Swamy, Kianté Brantley, Jason D. Lee, Wen Sun
2025	J	`jnl`	Scaling Offline RL via Efficient and Expressive Shortcut Models. CoRR Nicolas A. Espinosa Dice, Yiyi Zhang, Yiding Chen, Bradley Guo, Owen Oertell, Gokul Swamy, Kianté Brantley, Wen Sun
2024	A*	`conf`	A Minimaximalist Approach to Reinforcement Learning from Human Feedback. ICML Gokul Swamy, Christoph Dann, Rahul Kidambi, Steven Wu, Alekh Agarwal
2024	J	`jnl`	A Minimaximalist Approach to Reinforcement Learning from Human Feedback. CoRR Gokul Swamy, Christoph Dann, Rahul Kidambi, Zhiwei Steven Wu, Alekh Agarwal
2024	J	`jnl`	Diffusing States and Matching Scores: A New Framework for Imitation Learning. CoRR Runzhe Wu, Yiding Chen, Gokul Swamy, Kianté Brantley, Wen Sun
2024	A*	`conf`	Hybrid Inverse Reinforcement Learning. ICML Juntao Ren, Gokul Swamy, Steven Wu, Drew Bagnell, Sanjiban Choudhury
2024	J	`jnl`	Hybrid Inverse Reinforcement Learning. CoRR Juntao Ren, Gokul Swamy, Zhiwei Steven Wu, J. Andrew Bagnell, Sanjiban Choudhury
2024	A*	`conf`	Multi-Agent Imitation Learning: Value is Easy, Regret is Hard. NeurIPS Jingwu Tang, Gokul Swamy, Fei Fang, Zhiwei Steven Wu
2024	J	`jnl`	Multi-Agent Imitation Learning: Value is Easy, Regret is Hard. CoRR Jingwu Tang, Gokul Swamy, Fei Fang, Zhiwei Steven Wu
2024	A*	`conf`	REBEL: Reinforcement Learning via Regressing Relative Rewards. NeurIPS Zhaolin Gao, Jonathan D. Chang, Wenhao Zhan, Owen Oertell, Gokul Swamy, Kianté Brantley, Thorsten Joachims, Drew Bagnell, Jason D. Lee, Wen Sun
2024	J	`jnl`	REBEL: Reinforcement Learning via Regressing Relative Rewards. CoRR Zhaolin Gao, Jonathan D. Chang, Wenhao Zhan, Owen Oertell, Gokul Swamy, Kianté Brantley, Thorsten Joachims, J. Andrew Bagnell, Jason D. Lee, Wen Sun
2024	J	`jnl`	Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF. CoRR Zhaolin Gao, Wenhao Zhan, Jonathan D. Chang, Gokul Swamy, Kianté Brantley, Jason D. Lee, Wen Sun
2024	A*	`conf`	The Importance of Online Data: Understanding Preference Fine-tuning via Coverage. NeurIPS Yuda Song, Gokul Swamy, Aarti Singh, J. Andrew Bagnell, Wen Sun
2024	J	`jnl`	Understanding Preference Fine-Tuning Through the Lens of Coverage. CoRR Yuda Song, Gokul Swamy, Aarti Singh, J. Andrew Bagnell, Wen Sun
2024	A*	`conf`	When is Transfer Learning Possible? ICML My Phan, Kianté Brantley, Stephanie Milani, Soroush Mehri, Gokul Swamy, Geoffrey J. Gordon
2023	A*	`conf`	Inverse Reinforcement Learning without Reinforcement Learning. ICML Gokul Swamy, David Wu, Sanjiban Choudhury, Drew Bagnell, Zhiwei Steven Wu
2023	J	`jnl`	Inverse Reinforcement Learning without Reinforcement Learning. CoRR Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu
2023	A*	`conf`	Learning Shared Safety Constraints from Multi-task Demonstrations. NeurIPS Konwoo Kim, Gokul Swamy, Zuxin Liu, Ding Zhao, Sanjiban Choudhury, Zhiwei Steven Wu
2023	J	`jnl`	Learning Shared Safety Constraints from Multi-task Demonstrations. CoRR Konwoo Kim, Gokul Swamy, Zuxin Liu, Ding Zhao, Sanjiban Choudhury, Zhiwei Steven Wu
2022	A*	`conf`	Causal Imitation Learning under Temporally Correlated Noise. ICML Gokul Swamy, Sanjiban Choudhury, Drew Bagnell, Steven Wu
2022	J	`jnl`	Causal Imitation Learning under Temporally Correlated Noise. CoRR Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu
2022	J	`jnl`	Game-Theoretic Algorithms for Conditional Moment Matching. CoRR Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu
2022	A*	`conf`	Minimax Optimal Online Imitation Learning via Replay Estimation. NeurIPS Gokul Swamy, Nived Rajaraman, Matthew Peng, Sanjiban Choudhury, J. Andrew Bagnell, Steven Wu, Jiantao Jiao, Kannan Ramchandran
2022	J	`jnl`	Minimax Optimal Online Imitation Learning via Replay Estimation. CoRR Gokul Swamy, Nived Rajaraman, Matthew Peng, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu, Jiantao Jiao, Kannan Ramchandran
2022	A*	`conf`	Sequence Model Imitation Learning with Unobserved Contexts. NeurIPS Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu
2022	J	`jnl`	Sequence Model Imitation Learning with Unobserved Contexts. CoRR Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu
2021	J	`jnl`	A Critique of Strictly Batch Imitation Learning. CoRR Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu
2021	A*	`conf`	Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap. ICML Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Steven Wu
2021	J	`jnl`	Of Moments and Matching: Trade-offs and Treatments in Imitation Learning. CoRR Gokul Swamy, Sanjiban Choudhury, Zhiwei Steven Wu, J. Andrew Bagnell