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Dibya Ghosh
Dibya Ghosh
UC Berkeley, Google
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
Divide-and-conquer reinforcement learning
D Ghosh, A Singh, A Rajeswaran, V Kumar, S Levine
International Conference on Learning Representations (ICLR 2018), 2018
882018
Variational inverse control with events: A general framework for data-driven reward definition
J Fu, A Singh, D Ghosh, L Yang, S Levine
Advances in neural information processing systems 31, 2018
772018
Learning Actionable Representations with Goal-Conditioned Policies
D Ghosh, A Gupta, S Levine
International Conference on Learning Representations (ICLR 2019), 2019
722019
Learning to reach goals via iterated supervised learning
D Ghosh, A Gupta, A Reddy, J Fu, C Devin, B Eysenbach, S Levine
International Conference on Learning Representations (ICLR 2021), arXiv …, 2021
39*2021
Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning
A Kumar, R Agarwal, D Ghosh, S Levine
International Conference on Learning Representations (ICLR 2021), 2021
232021
Representations for stable off-policy reinforcement learning
D Ghosh, MG Bellemare
International Conference on Machine Learning, 3556-3565, 2020
112020
Why generalization in rl is difficult: Epistemic pomdps and implicit partial observability
D Ghosh, J Rahme, A Kumar, A Zhang, RP Adams, S Levine
Advances in Neural Information Processing Systems 34, 2021
102021
An operator view of policy gradient methods
D Ghosh, M C Machado, N Le Roux
Advances in Neural Information Processing Systems 33, 3397-3406, 2020
102020
On catastrophic interference in atari 2600 games
W Fedus, D Ghosh, JD Martin, MG Bellemare, Y Bengio, H Larochelle
arXiv preprint arXiv:2002.12499, 2020
62020
Evaluation of Two Different Systems for the Deformable Segmentation of a Lung Tumor in the Treatment of NSCLC Using SBRT
Y Cao, D Ghosh, J Gomez, A Singh, H Malhotra
MEDICAL PHYSICS 47 (6), E422-E422, 2020
2020
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Articles 1–10