Agarwal, Mridul

12 publications

ICML 2023 On the Global Convergence of Fitted Q-Iteration with Two-Layer Neural Network Parametrization Mudit Gaur, Vaneet Aggarwal, Mridul Agarwal

JMLR 2023 Reinforcement Learning for Joint Optimization of Multiple Rewards Mridul Agarwal, Vaneet Aggarwal

AAAI 2022 Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach Qinbo Bai, Amrit Singh Bedi, Mridul Agarwal, Alec Koppel, Vaneet Aggarwal

UAI 2022 An Explore-Then-Commit Algorithm for Submodular Maximization Under Full-Bandit Feedback Guanyu Nie, Mridul Agarwal, Abhishek Kumar Umrawal, Vaneet Aggarwal, Christopher John Quinn

TMLR 2022 Concave Utility Reinforcement Learning with Zero-Constraint Violations Mridul Agarwal, Qinbo Bai, Vaneet Aggarwal

JAIR 2022 Joint Optimization of Concave Scalarized Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm Qinbo Bai, Mridul Agarwal, Vaneet Aggarwal

JMLR 2022 Multi-Agent Multi-Armed Bandits with Limited Communication Mridul Agarwal, Vaneet Aggarwal, Kamyar Azizzadenesheli

JMLR 2022 On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) Using Mean Field Control (MFC) Washim Uddin Mondal, Mridul Agarwal, Vaneet Aggarwal, Satish V. Ukkusuri

UAI 2022 Regret Guarantees for Model-Based Reinforcement Learning with Long-Term Average Constraints Mridul Agarwal, Qinbo Bai, Vaneet Aggarwal

UAI 2021 Communication Efficient Parallel Reinforcement Learning Mridul Agarwal, Bhargav Ganguly, Vaneet Aggarwal

AAAI 2021 DART: Adaptive Accept Reject Algorithm for Non-Linear Combinatorial Bandits Mridul Agarwal, Vaneet Aggarwal, Abhishek Kumar Umrawal, Christopher J. Quinn

ALT 2021 Stochastic Top-$k$ Subset Bandits with Linear Space and Non-Linear Feedback Mridul Agarwal, Vaneet Aggarwal, Christopher J. Quinn, Abhishek K. Umrawal