8 citations · 11 across the 7 of their papers we have counts for
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cs.LG2023
Minimax Optimal Q Learning with Nearest Neighbors
Puning Zhao, Lifeng Lai
Analyzing the Markov decision process (MDP) with continuous state spaces is generally challenging. A recent interesting work \cite{shah2018q} solves MDP with bounded continuous sta…
cs.LG2023★ 1 cited
Efficient Action Robust Reinforcement Learning with Probabilistic Policy Execution Uncertainty
Guanlin Liu, Zhihan Zhou, Han Liu +1
Robust reinforcement learning (RL) aims to find a policy that optimizes the worst-case performance in the face of uncertainties. In this paper, we focus on action robust RL with th…
cs.LG2023★ 8 cited
Efficient Adversarial Attacks on Online Multi-agent Reinforcement Learning
Guanlin Liu, Lifeng Lai
Due to the broad range of applications of multi-agent reinforcement learning (MARL), understanding the effects of adversarial attacks against MARL model is essential for the safe a…