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Enhanced Meta Reinforcement Learning via Demonstrations in Sparse Reward Environments.

D. Rengarajan, S. Chaudhary, J. Kim, D. Kalathil, and S. Shakkottai. NeurIPS, (2022)

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Other publications of authors with the same name

Sample Complexity of Model-Based Robust Reinforcement Learning.K. Panaganti, and D. Kalathil. CDC, page 2240-2245. IEEE, (2021)Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning.R. Zhou, T. Liu, D. Kalathil, P. Kumar, and C. Tian. NeurIPS, (2022)AttackGNN: Red-Teaming GNNs in Hardware Security Using Reinforcement Learning.V. Gohil, S. Patnaik, D. Kalathil, and J. Rajendran. USENIX Security Symposium, USENIX Association, (2024)Dynamic Regret Analysis of Safe Distributed Online Optimization for Convex and Non-convex Problems.T. Chang, S. Chaudhary, D. Kalathil, and S. Shahrampour. Trans. Mach. Learn. Res., (2023)Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments.D. Rengarajan, S. Chaudhary, J. Kim, D. Kalathil, and S. Shakkottai. CoRR, (2022)Robust Reinforcement Learning using Least Squares Policy Iteration with Provable Performance Guarantees.K. Badrinath, and D. Kalathil. ICML, volume 139 of Proceedings of Machine Learning Research, page 511-520. PMLR, (2021)Improved Sample Complexity Bounds for Distributionally Robust Reinforcement Learning.Z. Xu, K. Panaganti, and D. Kalathil. AISTATS, volume 206 of Proceedings of Machine Learning Research, page 9728-9754. PMLR, (2023)DOPE: Doubly Optimistic and Pessimistic Exploration for Safe Reinforcement Learning.A. Bura, A. HasanzadeZonuzy, D. Kalathil, S. Shakkottai, and J. Chamberland. NeurIPS, (2022)DETERRENT: detecting trojans using reinforcement learning.V. Gohil, S. Patnaik, H. Guo, D. Kalathil, and J. Rajendran. DAC, page 697-702. ACM, (2022)Distributionally Robust Behavioral Cloning for Robust Imitation Learning.K. Panaganti, Z. Xu, D. Kalathil, and M. Ghavamzadeh. CDC, page 1342-1347. IEEE, (2023)

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Disambiguation of "Kalathil, Dileep"

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Enhanced Meta Reinforcement Learning via Demonstrations in Sparse Reward Environments.

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Disambiguation of "Kalathil, Dileep"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Enhanced Meta Reinforcement Learning via Demonstrations in Sparse Reward Environments.

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Enhanced Meta Reinforcement Learning via Demonstrations in Sparse Reward Environments.