Misra, Dipendra

27 publications

NeurIPS 2025 Principled Fine-Tuning of LLMs from User-Edits: A Medley of Preference, Supervision, and Reward Dipendra Misra, Aldo Pacchiano, Ta-Chung Chi, Ge Gao

NeurIPS 2024 Aligning LLM Agents by Learning Latent Preference from User Edits Ge Gao, Alexey Taymanov, Eduardo Salinas, Paul Mineiro, Dipendra Misra

NeurIPS 2024 Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning Dylan J. Foster, Adam Block, Dipendra Misra

ICLRW 2024 LLF-Bench: Benchmark for Interactive Learning from Language Feedback Ching-An Cheng, Andrey Kolobov, Dipendra Misra, Allen Nie, Adith Swaminathan

NeurIPS 2024 Policy Improvement Using Language Feedback Models Victor Zhong, Dipendra Misra, Xingdi Yuan, Marc-Alexandre Côté

ICML 2024 Provable Interactive Learning with Hindsight Instruction Feedback Dipendra Misra, Aldo Pacchiano, Robert E. Schapire

ICLR 2024 The Truth Is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction Pratyusha Sharma, Jordan T. Ash, Dipendra Misra

ICLR 2024 Towards Principled Representation Learning from Videos for Reinforcement Learning Dipendra Misra, Akanksha Saran, Tengyang Xie, Alex Lamb, John Langford

NeurIPSW 2024 Towards Principled Representation Learning from Videos for Reinforcement Learning Dipendra Misra, Akanksha Saran, Tengyang Xie, Alex Lamb, John Langford

TMLR 2023 Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step Inverse Models Alex Lamb, Riashat Islam, Yonathan Efroni, Aniket Rajiv Didolkar, Dipendra Misra, Dylan J Foster, Lekan P Molu, Rajan Chari, Akshay Krishnamurthy, John Langford

NeurIPSW 2023 Learning to Generate Better than Your LLM Jonathan Chang, Kianté Brantley, Rajkumar Ramamurthy, Dipendra Misra, Wen Sun

ICML 2023 Principled Offline RL in the Presence of Rich Exogenous Information Riashat Islam, Manan Tomar, Alex Lamb, Yonathan Efroni, Hongyu Zang, Aniket Rajiv Didolkar, Dipendra Misra, Xin Li, Harm Van Seijen, Remi Tachet Des Combes, John Langford

AISTATS 2023 Provable Safe Reinforcement Learning with Binary Feedback Andrew Bennett, Dipendra Misra, Nathan Kallus

NeurIPS 2023 Survival Instinct in Offline Reinforcement Learning Anqi Li, Dipendra Misra, Andrey Kolobov, Ching-An Cheng

ICMLW 2023 Survival Instinct in Offline Reinforcement Learning and Implicit Human Bias in Data Anqi Li, Dipendra Misra, Andrey Kolobov, Ching-An Cheng

AISTATS 2022 Investigating the Role of Negatives in Contrastive Representation Learning Jordan Ash, Surbhi Goel, Akshay Krishnamurthy, Dipendra Misra

NeurIPSW 2022 Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information Riashat Islam, Manan Tomar, Alex Lamb, Hongyu Zang, Yonathan Efroni, Dipendra Misra, Aniket Rajiv Didolkar, Xin Li, Harm van Seijen, Remi Tachet des Combes, John Langford

ICLR 2022 Provably Filtering Exogenous Distractors Using Multistep Inverse Dynamics Yonathan Efroni, Dipendra Misra, Akshay Krishnamurthy, Alekh Agarwal, John Langford

NeurIPS 2022 Provably Sample-Efficient RL with Side Information About Latent Dynamics Yao Liu, Dipendra Misra, Miro Dudik, Robert E. Schapire

COLT 2022 Sample-Efficient Reinforcement Learning in the Presence of Exogenous Information Yonathan Efroni, Dylan J Foster, Dipendra Misra, Akshay Krishnamurthy, John Langford

NeurIPSW 2022 Towards Data-Driven Offline Simulations for Online Reinforcement Learning Shengpu Tang, Felipe Vieira Frujeri, Dipendra Misra, Alex Lamb, John Langford, Paul Mineiro, Sebastian Kochman

ICML 2022 Understanding Contrastive Learning Requires Incorporating Inductive Biases Nikunj Saunshi, Jordan Ash, Surbhi Goel, Dipendra Misra, Cyril Zhang, Sanjeev Arora, Sham Kakade, Akshay Krishnamurthy

ICML 2021 Interactive Learning from Activity Description Khanh X Nguyen, Dipendra Misra, Robert Schapire, Miroslav Dudik, Patrick Shafto

ICLR 2021 Provable Rich Observation Reinforcement Learning with Combinatorial Latent States Dipendra Misra, Qinghua Liu, Chi Jin, John Langford

ICML 2020 Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning Dipendra Misra, Mikael Henaff, Akshay Krishnamurthy, John Langford

NeurIPS 2020 Learning the Linear Quadratic Regulator from Nonlinear Observations Zakaria Mhammedi, Dylan J Foster, Max Simchowitz, Dipendra Misra, Wen Sun, Akshay Krishnamurthy, Alexander Rakhlin, John Langford

ICML 2018 Lipschitz Continuity in Model-Based Reinforcement Learning Kavosh Asadi, Dipendra Misra, Michael Littman