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20232026
most citedRobust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms

7 citations · 7 across the 4 of their papers we have counts for

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math.OC2025

Computational Hardness of Static Distributionally Robust Markov Decision Processes

Yan Li

We present some hardness results on finding the optimal policy for the static formulation of distributionally robust Markov decision processes. We construct problem instances such…

math.OC2025

Risk-averse formulations of Stochastic Optimal Control and Markov Decision Processes

Alexander Shapiro, Yan Li

The aim of this paper is to investigate risk-averse and distributionally robust modeling of Stochastic Optimal Control (SOC) and Markov Decision Process (MDP). We discuss construct…