Dipendra Misra
Dipendra Misra
Microsoft Research New York
Verified email at - Homepage
Cited by
Cited by
Touchdown: Natural language navigation and spatial reasoning in visual street environments
H Chen, A Suhr, D Misra, N Snavely, Y Artzi
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Tell me Dave: Context-sensitive grounding of natural language to manipulation instructions
DK Misra, J Sung, K Lee, A Saxena
The International Journal of Robotics Research 35 (1-3), 281-300, 2016
Mapping instructions and visual observations to actions with reinforcement learning
D Misra, J Langford, Y Artzi
arXiv preprint arXiv:1704.08795, 2017
Robobrain: Large-scale knowledge engine for robots
A Saxena, A Jain, O Sener, A Jami, DK Misra, HS Koppula
arXiv preprint arXiv:1412.0691, 2014
Mapping instructions to actions in 3d environments with visual goal prediction
D Misra, A Bennett, V Blukis, E Niklasson, M Shatkhin, Y Artzi
arXiv preprint arXiv:1809.00786, 2018
Kinematic state abstraction and provably efficient rich-observation reinforcement learning
D Misra, M Henaff, A Krishnamurthy, J Langford
International conference on machine learning, 6961-6971, 2020
Lipschitz continuity in model-based reinforcement learning
K Asadi, D Misra, M Littman
International Conference on Machine Learning, 264-273, 2018
Understanding contrastive learning requires incorporating inductive biases
N Saunshi, J Ash, S Goel, D Misra, C Zhang, S Arora, S Kakade, ...
International Conference on Machine Learning, 19250-19286, 2022
Chalet: Cornell house agent learning environment
C Yan, D Misra, A Bennnett, A Walsman, Y Bisk, Y Artzi
arXiv preprint arXiv:1801.07357, 2018
Mapping navigation instructions to continuous control actions with position-visitation prediction
V Blukis, D Misra, RA Knepper, Y Artzi
Conference on Robot Learning, 505-518, 2018
Environment-driven lexicon induction for high-level instructions
D Misra, K Tao, P Liang, A Saxena
Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015
Neural shift-reduce ccg semantic parsing
DK Misra, Y Artzi
Proceedings of the Conference on Empirical Methods in Natural Language …, 2016
Combating the compounding-error problem with a multi-step model
K Asadi, D Misra, S Kim, ML Littman
arXiv preprint arXiv:1905.13320, 2019
Provably filtering exogenous distractors using multistep inverse dynamics
Y Efroni, D Misra, A Krishnamurthy, A Agarwal, J Langford
International Conference on Learning Representations, 2021
Investigating the role of negatives in contrastive representation learning
JT Ash, S Goel, A Krishnamurthy, D Misra
arXiv preprint arXiv:2106.09943, 2021
Learning the linear quadratic regulator from nonlinear observations
Z Mhammedi, DJ Foster, M Simchowitz, D Misra, W Sun, A Krishnamurthy, ...
Advances in Neural Information Processing Systems 33, 14532-14543, 2020
Interactive learning from activity description
KX Nguyen, D Misra, R Schapire, M Dudík, P Shafto
International Conference on Machine Learning, 8096-8108, 2021
Policy shaping and generalized update equations for semantic parsing from denotations
D Misra, MW Chang, X He, W Yih
arXiv preprint arXiv:1809.01299, 2018
The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction
P Sharma, JT Ash, D Misra
The Twelfth International Conference on Learning Representations, 2023
Guaranteed discovery of controllable latent states with multi-step inverse models
A Lamb, R Islam, Y Efroni, A Didolkar, D Misra, D Foster, L Molu, R Chari, ...
arXiv preprint arXiv:2207.08229, 2022
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