Ghosh, Arnob

11 publications

NeurIPS 2025 Efficient Policy Optimization in Robust Constrained MDPs with Iteration Complexity Guarantees Sourav Ganguly, Kishan Panaganti, Arnob Ghosh, Adam Wierman

ICML 2025 Online Learning in Risk Sensitive Constrained MDP Arnob Ghosh, Mehrdad Moharrami

NeurIPS 2025 Provably Efficient RL Under Episode-Wise Safety in Constrained MDPs with Linear Function Approximation Toshinori Kitamura, Arnob Ghosh, Tadashi Kozuno, Wataru Kumagai, Kazumi Kasaura, Kenta Hoshino, Yohei Hosoe, Yutaka Matsuo

ICML 2025 Provably Efficient RL for Linear MDPs Under Instantaneous Safety Constraints in Non-Convex Feature Spaces Amirhossein Roknilamouki, Arnob Ghosh, Ming Shi, Fatemeh Nourzad, Eylem Ekici, Ness Shroff

ICLR 2024 Achieving Fairness in Multi-Agent MDP Using Reinforcement Learning Peizhong Ju, Arnob Ghosh, Ness Shroff

NeurIPS 2024 Adversarially Trained Weighted Actor-Critic for Safe Offline Reinforcement Learning Honghao Wei, Xiyue Peng, Arnob Ghosh, Xin Liu

AISTATS 2024 Towards Achieving Sub-Linear Regret and Hard Constraint Violation in Model-Free RL Arnob Ghosh, Xingyu Zhou, Ness Shroff

ICLR 2023 Achieving Sub-Linear Regret in Infinite Horizon Average Reward Constrained MDP with Linear Function Approximation Arnob Ghosh, Xingyu Zhou, Ness Shroff

AISTATS 2023 Provably Efficient Model-Free Algorithms for Non-Stationary CMDPs Honghao Wei, Arnob Ghosh, Ness Shroff, Lei Ying, Xingyu Zhou

L4DC 2023 Provably Efficient Model-Free RL in Leader-Follower MDP with Linear Function Approximation Arnob Ghosh

NeurIPS 2022 Provably Efficient Model-Free Constrained RL with Linear Function Approximation Arnob Ghosh, Xingyu Zhou, Ness Shroff