Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning
Dipendra Misra, Mikael Henaff, Akshay Krishnamurthy, and John Langford
arXiv, 2019.
[Paper]

Combating the Compounding-Error Problem with a Multi-step Model
Kavosh Asadi, Dipendra Misra, Seungchan Kim, Michel L Littman
arXiv, 2019.
[Paper]

Early Fusion for Goal Directed Robotic Vision
Aaron Walsman, Yonatan Bisk, Saadia Gabriel, Dipendra Misra, Yoav Artzi, Yejin Choi, Dieter Fox
In International Conference on Intelligent Robots and Systems (IROS), 2019.
[Paper]    [Best paper nomination]

Touchdown: Natural Language Navigation and Spatial Reasoning in Visual Street Environments
Howard Chen, Alane Suhr, Dipendra Misra, Noah Snavely, Yoav Artzi
In Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
[Paper] [Dataset and SDR Code] [Navigation Code]

Mapping Navigation Instructions to Continuous Control Actions with Position Visitation Prediction
Valts Blukis, Dipendra Misra, Ross A. Knepper, and Yoav Artzi
In Proceedings of the Conference on Robot Learning (CoRL), 2018.
[Paper] [Code] [Demo Video]

Policy Shaping and Generalized Update Equations for Semantic Parsing from Denotations
Dipendra Misra, Ming-Wei Chang, Xiaodong He and Wen-tau Yih
In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018.
[Paper] [Code]

Mapping Instructions to Actions in 3D Environments with Visual Goal Prediction
Dipendra Misra, Andrew Bennett, Valts Blukis, Eyvind Niklasson, Max Shatkhin, and Yoav Artzi
In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018.
[Paper] [Code, Data and Simulators]

Lipschitz Continuity in Model-based Reinforcement Learning
Kavosh Asadi*, Dipendra Misra*, Michael L. Littman (* equal contribution)
In Proceedings of the 35^th International Conference on Machine Learning (ICML), 2018.
[Paper] [Code]

Mapping Instructions and Visual Observations to Actions with Reinforcement Learning
Dipendra Misra, John Langford and Yoav Artzi
In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2017.
[Paper] [Code] [Arxiv Preprint]

Neural Shift-Reduce CCG Semantic Parsing
Dipendra Misra and Yoav Artzi
In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2016.
[Paper] [Supplementary] [Code]

Environment-driven lexicon induction for high-level instructions
Dipendra K. Misra, Kejia Tao, Percy Liang, Ashutosh Saxena
In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL), 2015.
[Paper] [Supplementary] [Code] [Data] [Simulator] [Bibtex]

Robo Brain: Large-Scale Knowledge Engine for Robots
Ashutosh Saxena, Ashesh Jain, Ozan Sener, Aditya Jami, Dipendra K. Misra, Hema S Koppula
In Proceedings of the International Symposium of Robotics Research (ISRR), 2015.
[Paper] [Website]

Tell Me Dave: Context-Sensitive Grounding of Natural Language to Manipulation Instructions
Dipendra K. Misra, Jaeyong Sung, Kevin K. Lee, Ashutosh Saxena
In Proceedings of the Robotics: Science and systems (RSS), 2015.
[Paper] [Website] [Simulator] [Bibtex]

Tell Me Dave: Context-Sensitive Grounding of Natural Language to Manipulation Instructions
Dipendra K. Misra, Jaeyong Sung, Kevin K. Lee, Ashutosh Saxena
In The International Journal of Robotics Research (IJRR), 2015.
[Paper] [Website] [Bibtex]

Towards a Simple Approach to Multi-step Model-based Reinforcement Learning
Kavosh Asadi, Evan Carter, Dipendra Misra, Michael Littman
Deep Reinforcement Learning Workshop at the Conference on Neural Information Processing Systems (NeurIPS), 2018.
[Paper]

The Third Workshop on Representation Learning for NLP (Rep4NLP)
Isabelle Augenstein, Kris Cao, He He, Felix Hill, Spandana Gella, Jamie Kiros, Hongyuan Mei and Dipendra Misra
Workshop at the Annual Meeting of the Association for Computational Linguistics (ACL), 2018.
[Workshop Proceedings]

Equivalence Between Wasserstein and Value-Aware Model-based Reinforcement Learning
Kavosh Asadi, Evan Carter, Dipendra Misra and Michael L. Littman
Workshop on Prediction and Generative Modeling in Reinforcement Learning (PGMRL) at the International Conference on Machine Learning (ICML), 2018.
[ArXiv Preprint]

CHALET: Cornell House Agent Learning Environment
Claudia Yan, Dipendra Misra, Andrew Bennett, Aaron Walsman, Yonatan Bisk and Yoav Artzi
arXiv report, 2018.
[Paper] [Website] [Bibtex]

Reinforcement Learning for Mapping Instructions to Actions with Reward Learning
Dipendra Misra and Yoav Artzi
Symposium on Natural Communication for Human-Robot Collaboration at AAAI Fall Symposium Series, 2017.
[Paper] [Code]