Dipendra Misra

According to our database, Dipendra Misra authored at least 39 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Towards Principled Representation Learning from Videos for Reinforcement Learning.

Dipendra Misra, Akanksha Saran, Tengyang Xie, Alex Lamb, John Langford

CoRR, 2024

Policy Improvement using Language Feedback Models.

Victor Zhong, Dipendra Misra, Xingdi Yuan, Marc-Alexandre Côté

CoRR, 2024

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

Trans. Mach. Learn. Res., 2023

The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction.

Pratyusha Sharma, Jordan T. Ash, Dipendra Misra

CoRR, 2023

LLF-Bench: Benchmark for Interactive Learning from Language Feedback.

Ching-An Cheng, Andrey Kolobov, Dipendra Misra, Allen Nie, Adith Swaminathan

CoRR, 2023

Learning to Generate Better Than Your LLM.

Jonathan D. Chang, Kianté Brantley, Rajkumar Ramamurthy, Dipendra Misra, Wen Sun

CoRR, 2023

Survival Instinct in Offline Reinforcement Learning.

Anqi Li, Dipendra Misra, Andrey Kolobov, Ching-An Cheng

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the International Conference on Machine Learning, 2023

Provable Safe Reinforcement Learning with Binary Feedback.

Andrew Bennett, Dipendra Misra, Nathan Kallus

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

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

CoRR, 2022

Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information.

Riashat Islam, Manan Tomar, Alex Lamb, Yonathan Efroni, Hongyu Zang, Aniket Didolkar, Dipendra Misra, Xin Li, Harm van Seijen, Remi Tachet des Combes, John Langford

CoRR, 2022

Guaranteed Discovery of Controllable Latent States with Multi-Step Inverse Models.

Alex Lamb, Riashat Islam, Yonathan Efroni, Aniket Didolkar, Dipendra Misra, Dylan J. Foster, Lekan P. Molu, Rajan Chari, Akshay Krishnamurthy, John Langford

CoRR, 2022

Provably sample-efficient RL with side information about latent dynamics.

Yao Liu, Dipendra Misra, Miro Dudík, Robert E. Schapire

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Understanding Contrastive Learning Requires Incorporating Inductive Biases.

Nikunj Saunshi, Jordan T. Ash, Surbhi Goel, Dipendra Misra, Cyril Zhang, Sanjeev Arora, Sham M. Kakade, Akshay Krishnamurthy

Proceedings of the International Conference on Machine Learning, 2022

Provably Filtering Exogenous Distractors using Multistep Inverse Dynamics.

Yonathan Efroni, Dipendra Misra, Akshay Krishnamurthy, Alekh Agarwal, John Langford

Proceedings of the Tenth International Conference on Learning Representations, 2022

Sample-Efficient Reinforcement Learning in the Presence of Exogenous Information.

Yonathan Efroni, Dylan J. Foster, Dipendra Misra, Akshay Krishnamurthy, John Langford

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

Investigating the Role of Negatives in Contrastive Representation Learning.

Jordan T. Ash, Surbhi Goel, Akshay Krishnamurthy, Dipendra Misra

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Provable RL with Exogenous Distractors via Multistep Inverse Dynamics.

Yonathan Efroni, Dipendra Misra, Akshay Krishnamurthy, Alekh Agarwal, John Langford

CoRR, 2021

Have you tried Neural Topic Models? Comparative Analysis of Neural and Non-Neural Topic Models with Application to COVID-19 Twitter Data.

Andrew Bennett, Dipendra Misra, Nga Than

CoRR, 2021

Interactive Learning from Activity Description.

Khanh Nguyen, Dipendra Misra, Robert E. Schapire, Miroslav Dudík, Patrick Shafto

Proceedings of the 38th International Conference on Machine Learning, 2021

Provable Rich Observation Reinforcement Learning with Combinatorial Latent States.

Dipendra Misra, Qinghua Liu, Chi Jin, John Langford

Proceedings of the 9th International Conference on Learning Representations, 2021

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

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning.

Dipendra Misra, Mikael Henaff, Akshay Krishnamurthy, John Langford

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Scalable and Interpretable Approaches for Learning to Follow Natural Language Instructions.

Dipendra Misra

PhD thesis, 2019

Combating the Compounding-Error Problem with a Multi-step Model.

Kavosh Asadi, Dipendra Misra, Seungchan Kim, Michael L. Littman

CoRR, 2019

EARLY FUSION for Goal Directed Robotic Vision.

Aaron Walsman, Yonatan Bisk, Saadia Gabriel, Dipendra Misra, Yoav Artzi, Yejin Choi, Dieter Fox

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

TOUCHDOWN: Natural Language Navigation and Spatial Reasoning in Visual Street Environments.

Howard Chen, Alane Suhr, Dipendra Misra, Noah Snavely, Yoav Artzi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Towards a Simple Approach to Multi-step Model-based Reinforcement Learning.

Kavosh Asadi, Evan Cater, Dipendra Misra, Michael L. Littman

CoRR, 2018

Equivalence Between Wasserstein and Value-Aware Model-based Reinforcement Learning.

Kavosh Asadi, Evan Cater, Dipendra Misra, Michael L. Littman

CoRR, 2018

CHALET: Cornell House Agent Learning Environment.

Claudia Yan, Dipendra Kumar Misra, Andrew Bennett, Aaron Walsman, Yonatan Bisk, Yoav Artzi

CoRR, 2018

Lipschitz Continuity in Model-based Reinforcement Learning.

Kavosh Asadi, Dipendra Misra, Michael L. Littman

Proceedings of the 35th International Conference on Machine Learning, 2018

Policy Shaping and Generalized Update Equations for Semantic Parsing from Denotations.

Dipendra Misra, Ming-Wei Chang, Xiaodong He, Wen-tau Yih

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Mapping Instructions to Actions in 3D Environments with Visual Goal Prediction.

Dipendra Kumar Misra, Andrew Bennett, Valts Blukis, Eyvind Niklasson, Max Shatkhin, Yoav Artzi

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Mapping Navigation Instructions to Continuous Control Actions with Position-Visitation Prediction.

Valts Blukis, Dipendra Kumar Misra, Ross A. Knepper, Yoav Artzi

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017

Mapping Instructions and Visual Observations to Actions with Reinforcement Learning.

Dipendra Kumar Misra, John Langford, Yoav Artzi

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016

Tell me Dave: Context-sensitive grounding of natural language to manipulation instructions.

Dipendra Kumar Misra, Jaeyong Sung, Kevin Lee, Ashutosh Saxena

Int. J. Robotics Res., 2016

Neural Shift-Reduce CCG Semantic Parsing.

Dipendra Kumar Misra, Yoav Artzi

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015

Environment-Driven Lexicon Induction for High-Level Instructions.

Dipendra Kumar Misra, Kejia Tao, Percy Liang, Ashutosh Saxena

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014

RoboBrain: Large-Scale Knowledge Engine for Robots.

Ashutosh Saxena, Ashesh Jain, Ozan Sener, Aditya Jami, Dipendra Kumar Misra, Hema Swetha Koppula

CoRR, 2014