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Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments.

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

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OTTR: Off-Road Trajectory Tracking using Reinforcement Learning.A. Nagariya, D. Kalathil, and S. Saripalli. CoRR, (2021)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)AttackGNN: Red-Teaming GNNs in Hardware Security Using Reinforcement Learning.V. Gohil, S. Patnaik, D. Kalathil, and J. Rajendran. CoRR, (2024)Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning.R. Zhou, T. Liu, D. Kalathil, P. Kumar, and C. Tian. NeurIPS, (2022)A Vision-Based Control Method for Autonomous Landing of Vertical Flight Aircraft On a Moving Platform Without Using GPS.B. Lee, V. Saj, M. Benedict, and D. Kalathil. CoRR, (2020)QFlow: A Learning Approach to High QoE Video Streaming at the Wireless Edge.R. Bhattacharyya, A. Bura, D. Rengarajan, M. Rumuly, B. Xia, S. Shakkottai, D. Kalathil, R. Mok, and A. Dhamdhere. IEEE/ACM Trans. Netw., 30 (1): 32-46 (2022)Sample Complexity of Model-Based Robust Reinforcement Learning.K. Panaganti, and D. Kalathil. CDC, page 2240-2245. IEEE, (2021)Sample Complexity of Robust Reinforcement Learning with a Generative Model.K. Panaganti, and D. Kalathil. CoRR, (2021)Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments.D. Rengarajan, S. Chaudhary, J. Kim, D. Kalathil, and S. Shakkottai. CoRR, (2022)Federated Ensemble-Directed Offline Reinforcement Learning.D. Rengarajan, N. Ragothaman, D. Kalathil, and S. Shakkottai. CoRR, (2023)

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Disambiguation of "Kalathil, Dileep"

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Enhanced Meta Reinforcement Learning using 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 using Demonstrations in Sparse Reward Environments.

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Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments.