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Dibya Ghosh
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Divide-and-conquer reinforcement learning
D Ghosh, A Singh, A Rajeswaran, V Kumar, S Levine
International Conference on Learning Representations (ICLR 2018), 2018
1052018
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
982018
Learning Actionable Representations with Goal-Conditioned Policies
D Ghosh, A Gupta, S Levine
International Conference on Learning Representations (ICLR 2019), 2019
922019
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
82*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
402021
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, 25502-25515, 2021
382021
Representations for stable off-policy reinforcement learning
D Ghosh, MG Bellemare
International Conference on Machine Learning, 3556-3565, 2020
222020
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
162020
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
72020
Offline rl policies should be trained to be adaptive
D Ghosh, A Ajay, P Agrawal, S Levine
International Conference on Machine Learning, 7513-7530, 2022
42022
Distributionally Adaptive Meta Reinforcement Learning
A Ajay, A Gupta, D Ghosh, S Levine, P Agrawal
arXiv preprint arXiv:2210.03104, 2022
22022
Implementation of Automatic Invertible Matrix Mechanism in NTRU Matrix Formulation Algorithm
MR Mamdikar, V Kumar, D Ghosh
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Articles 1–12