Choudhury, Sanjiban

37 publications

NeurIPS 2025 A Smooth Sea Never Made a Skilled SAILOR: Robust Imitation via Learning to Search Arnav Kumar Jain, Vibhakar Mohta, Subin Kim, Atiksh Bhardwaj, Juntao Ren, Yunhai Feng, Sanjiban Choudhury, Gokul Swamy

ICLRW 2025 Aligning LLMs with Domain Invariant Reward Models David Wu, Sanjiban Choudhury

ICLR 2025 Better than Your Teacher: LLM Agents That Learn from Privileged AI Feedback Sanjiban Choudhury, Paloma Sodhi

ICLR 2025 Efficient Imitation Under Misspecification Nicolas Espinosa-Dice, Sanjiban Choudhury, Wen Sun, Gokul Swamy

ICML 2025 Imitation Learning from a Single Temporally Misaligned Video William Huey, Huaxiaoyue Wang, Anne Wu, Yoav Artzi, Sanjiban Choudhury

IJCAI 2025 Imitation Learning via Focused Satisficing Rushit N. Shah, Nikolaos Agadakos, Synthia Sasulski, Ali Farajzadeh, Sanjiban Choudhury, Brian D. Ziebart

ICML 2025 Multi-Turn Code Generation Through Single-Step Rewards Arnav Kumar Jain, Gonzalo Gonzalez-Pumariega, Wayne Chen, Alexander M Rush, Wenting Zhao, Sanjiban Choudhury

ICLRW 2025 Multi-Turn Code Generation Through Single-Step Rewards Arnav Kumar Jain, Gonzalo Gonzalez-Pumariega, Wayne Chen, Alexander M Rush, Wenting Zhao, Sanjiban Choudhury

ICLR 2025 Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching Arnav Kumar Jain, Harley Wiltzer, Jesse Farebrother, Irina Rish, Glen Berseth, Sanjiban Choudhury

ICLR 2025 Robotouille: An Asynchronous Planning Benchmark for LLM Agents Gonzalo Gonzalez-Pumariega, Leong Su Yean, Neha Sunkara, Sanjiban Choudhury

CoRL 2025 X-Sim: Cross-Embodiment Learning via Real-to-Sim-to-Real Prithwish Dan, Kushal Kedia, Angela Chao, Edward Duan, Maximus Adrian Pace, Wei-Chiu Ma, Sanjiban Choudhury

CoRL 2024 APRICOT: Active Preference Learning and Constraint-Aware Task Planning with LLMs Huaxiaoyue Wang, Nathaniel Chin, Gonzalo Gonzalez-Pumariega, Xiangwan Sun, Neha Sunkara, Maximus Adrian Pace, Jeannette Bohg, Sanjiban Choudhury

ICMLW 2024 Efficient Inverse Reinforcement Learning Without Compounding Errors Nicolas Espinosa Dice, Gokul Swamy, Sanjiban Choudhury, Wen Sun

ICML 2024 Hybrid Inverse Reinforcement Learning Juntao Ren, Gokul Swamy, Steven Wu, Drew Bagnell, Sanjiban Choudhury

CoRL 2024 MOSAIC: Modular Foundation Models for Assistive and Interactive Cooking Huaxiaoyue Wang, Kushal Kedia, Juntao Ren, Rahma Abdullah, Atiksh Bhardwaj, Angela Chao, Kelly Y Chen, Nathaniel Chin, Prithwish Dan, Xinyi Fan, Gonzalo Gonzalez-Pumariega, Aditya Kompella, Maximus Adrian Pace, Yash Sharma, Xiangwan Sun, Neha Sunkara, Sanjiban Choudhury

ICMLW 2024 Revisiting Successor Features for Inverse Reinforcement Learning Arnav Kumar Jain, Harley Wiltzer, Jesse Farebrother, Irina Rish, Glen Berseth, Sanjiban Choudhury

NeurIPSW 2024 Value-Aligned Imitation via Focused Satisficing Rushit N. Shah, Nikolaos Agadakos, Synthia Sasulski, Ali Farajzadeh, Sanjiban Choudhury, Brian D Ziebart

ICMLW 2023 Complementing a Policy with a Different Observation Space Gokul Swamy, Sanjiban Choudhury, Drew Bagnell, Steven Wu

NeurIPS 2023 Demo2Code: From Summarizing Demonstrations to Synthesizing Code via Extended Chain-of-Thought Yuki Wang, Gonzalo Gonzalez-Pumariega, Yash Sharma, Sanjiban Choudhury

ICLR 2023 Impossibly Good Experts and How to Follow Them Aaron Walsman, Muru Zhang, Sanjiban Choudhury, Dieter Fox, Ali Farhadi

ICML 2023 Inverse Reinforcement Learning Without Reinforcement Learning Gokul Swamy, David Wu, Sanjiban Choudhury, Drew Bagnell, Steven Wu

NeurIPS 2023 Learning Shared Safety Constraints from Multi-Task Demonstrations Konwoo Kim, Gokul Swamy, Zuxin Liu, Ding Zhao, Sanjiban Choudhury, Steven Z. Wu

ICMLW 2023 Learning Shared Safety Constraints from Multi-Task Demonstrations Konwoo Kim, Gokul Swamy, Zuxin Liu, Ding Zhao, Sanjiban Choudhury, Steven Wu

ICMLW 2023 Learning Shared Safety Constraints from Multi-Task Demonstrations Konwoo Kim, Gokul Swamy, Zuxin Liu, Ding Zhao, Sanjiban Choudhury, Steven Wu

CoRL 2023 ManiCast: Collaborative Manipulation with Cost-Aware Human Forecasting Kushal Kedia, Prithwish Dan, Atiksh Bhardwaj, Sanjiban Choudhury

ICML 2023 The Virtues of Laziness in Model-Based RL: A Unified Objective and Algorithms Anirudh Vemula, Yuda Song, Aarti Singh, Drew Bagnell, Sanjiban Choudhury

ICML 2022 Causal Imitation Learning Under Temporally Correlated Noise Gokul Swamy, Sanjiban Choudhury, Drew Bagnell, Steven Wu

NeurIPS 2022 Minimax Optimal Online Imitation Learning via Replay Estimation Gokul Swamy, Nived Rajaraman, Matt Peng, Sanjiban Choudhury, J. A. Bagnell, Steven Z. Wu, Jiantao Jiao, Kannan Ramchandran

NeurIPS 2022 Sequence Model Imitation Learning with Unobserved Contexts Gokul Swamy, Sanjiban Choudhury, J. A. Bagnell, Steven Z. Wu

ICML 2022 Towards Uniformly Superhuman Autonomy via Subdominance Minimization Brian Ziebart, Sanjiban Choudhury, Xinyan Yan, Paul Vernaza

ICLR 2021 Blending MPC & Value Function Approximation for Efficient Reinforcement Learning Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots

ICML 2021 Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Steven Wu

NeurIPSW 2021 What Would the Expert $do(\cdot)$?: Causal Imitation Learning Gokul Swamy, Sanjiban Choudhury, Drew Bagnell, Steven Wu

ICLR 2019 Bayesian Policy Optimization for Model Uncertainty Gilwoo Lee, Brian Hou, Aditya Mandalika, Jeongseok Lee, Sanjiban Choudhury, Siddhartha S. Srinivasa

IJCAI 2018 Bayesian Active Edge Evaluation on Expensive Graphs Sanjiban Choudhury, Siddhartha S. Srinivasa, Sebastian A. Scherer

CoRL 2017 Learning Heuristic Search via Imitation Mohak Bhardwaj, Sanjiban Choudhury, Sebastian A. Scherer

NeurIPS 2017 Near-Optimal Edge Evaluation in Explicit Generalized Binomial Graphs Sanjiban Choudhury, Shervin Javdani, Siddhartha Srinivasa, Sebastian Scherer