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Model-Free Robust φ-Divergence Reinforcement Learning Using Both Offline and Online Data.

K. Panaganti, A. Wierman, and E. Mazumdar. CoRR, (2024)

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Shaswati Mazumdar

Pronab Mazumdar

Kiran Mazumdar

Suvodeep Mazumdar

Dhirendranath Mazumdar

Other publications of authors with the same name

Policy-Gradient Algorithms Have No Guarantees of Convergence in Continuous Action and State Multi-Agent Settings.E. Mazumdar, L. Ratliff, M. Jordan, and S. Sastry. CoRR, (2019)Zeroth-Order Methods for Convex-Concave Minmax Problems: Applications to Decision-Dependent Risk Minimization.C. Maheshwari, C. Chiu, E. Mazumdar, S. Sastry, and L. Ratliff. CoRR, (2021)Feedback Linearization for Unknown Systems via Reinforcement Learning.T. Westenbroek, D. Fridovich-Keil, E. Mazumdar, S. Arora, V. Prabhu, S. Sastry, and C. Tomlin. CoRR, (2019)Local Nash Equilibria are Isolated, Strict Local Nash Equilibria in 'Almost All' Zero-Sum Continuous Games.E. Mazumdar, and L. Ratliff. CoRR, (2020)Expert Selection in High-Dimensional Markov Decision Processes.V. Rubies-Royo, E. Mazumdar, R. Dong, C. Tomlin, and S. Sastry. CDC, page 3604-3610. IEEE, (2020)Gradient-based inverse risk-sensitive reinforcement learning.E. Mazumdar, L. Ratliff, T. Fiez, and S. Sastry. CDC, page 5796-5801. IEEE, (2017)Sample-Efficient Robust Multi-Agent Reinforcement Learning in the Face of Environmental Uncertainty.L. Shi, E. Mazumdar, Y. Chi, and A. Wierman. CoRR, (2024)Fast Distributionally Robust Learning with Variance Reduced Min-Max Optimization.Y. Yu, T. Lin, E. Mazumdar, and M. Jordan. CoRR, (2021)Feedback Linearization for Uncertain Systems via Reinforcement Learning.T. Westenbroek, D. Fridovich-Keil, E. Mazumdar, S. Arora, V. Prabhu, S. Sastry, and C. Tomlin. ICRA, page 1364-1371. IEEE, (2020)Local Nash Equilibria are Isolated, Strict Local Nash Equilibria in 'Almost All' Zero-Sum Continuous Games.E. Mazumdar, and L. Ratliff. CDC, page 6899-6904. IEEE, (2019)

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Disambiguation of "Mazumdar, Eric"

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Model-Free Robust φ-Divergence Reinforcement Learning Using Both Offline and Online Data.

Please choose a person to relate this publication to

Shaswati Mazumdar

Pronab Mazumdar

Kiran Mazumdar

Suvodeep Mazumdar

Dhirendranath Mazumdar

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Mazumdar, Eric"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Model-Free Robust φ-Divergence Reinforcement Learning Using Both Offline and Online Data.

Please choose a person to relate this publication to

Shaswati Mazumdar

Pronab Mazumdar

Kiran Mazumdar

Suvodeep Mazumdar

Dhirendranath Mazumdar

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Model-Free Robust φ-Divergence Reinforcement Learning Using Both Offline and Online Data.