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Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning.

R. Zhou, T. Liu, D. Kalathil, P. Kumar, and C. Tian. NeurIPS, (2022)

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Dynamic Regret Analysis of Safe Distributed Online Optimization for Convex and Non-convex Problems.T. Chang, S. Chaudhary, D. Kalathil, and S. Shahrampour. CoRR, (2023)Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning.R. Zhou, T. Liu, D. Kalathil, P. Kumar, and C. Tian. NeurIPS, (2022)Sample Complexity of Model-Based Robust Reinforcement Learning.K. Panaganti, and D. Kalathil. CDC, page 2240-2245. IEEE, (2021)Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments.D. Rengarajan, S. Chaudhary, J. Kim, D. Kalathil, and S. Shakkottai. CoRR, (2022)DOPE: Doubly Optimistic and Pessimistic Exploration for Safe Reinforcement Learning.A. Bura, A. HasanzadeZonuzy, D. Kalathil, S. Shakkottai, and J. Chamberland. NeurIPS, (2022)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)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)Meta-Learning Online Control for Linear Dynamical Systems.D. Muthirayan, D. Kalathil, and P. Khargonekar. CDC, page 1435-1440. IEEE, (2022)Distributionally Robust Behavioral Cloning for Robust Imitation Learning.K. Panaganti, Z. Xu, D. Kalathil, and M. Ghavamzadeh. CDC, page 1342-1347. IEEE, (2023)Robust Reinforcement Learning using Offline Data.K. Panaganti, Z. Xu, D. Kalathil, and M. Ghavamzadeh. NeurIPS, (2022)

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Disambiguation of "Kalathil, Dileep"

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Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning.

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Disambiguation of "Kalathil, Dileep"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning.

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Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning.