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09/05/2023
Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes
In this paper, we consider an infinite horizon average reward Markov Dec...
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06/12/2022
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm
We consider the problem of constrained Markov decision process (CMDP) in...
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09/13/2021
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach
Reinforcement learning is widely used in applications where one needs to...
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09/12/2021
Concave Utility Reinforcement Learning with Zero-Constraint Violations
We consider the problem of tabular infinite horizon concave utility rein...
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06/12/2021
Markov Decision Processes with Long-Term Average Constraints
We consider the problem of constrained Markov Decision Process (CMDP) wh...
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05/28/2021
Joint Optimization of Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm
Many engineering problems have multiple objectives, and the overall aim ...
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06/10/2020
Model-Free Algorithm and Regret Analysis for MDPs with Long-Term Constraints
In the optimization of dynamical systems, the variables typically have c...
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03/11/2020
Model-Free Algorithm and Regret Analysis for MDPs with Peak Constraints
In the optimization of dynamic systems, the variables typically have con...
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10/03/2019