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cs.LG2023
A primal-dual perspective for distributed TD-learning
Han-Dong Lim, Donghwan Lee
The goal of this paper is to investigate distributed temporal difference (TD) learning for a networked multi-agent Markov decision process. The proposed approach is based on distri…
cs.LG2023★ 1 cited
Finite-Time Analysis of Temporal Difference Learning with Experience Replay
Han-Dong Lim, Donghwan Lee
Temporal-difference (TD) learning is widely regarded as one of the most popular algorithms in reinforcement learning (RL). Despite its widespread use, it has only been recently tha…
cs.LG2023
Backstepping Temporal Difference Learning
Han-Dong Lim, Donghwan Lee
Off-policy learning ability is an important feature of reinforcement learning (RL) for practical applications. However, even one of the most elementary RL algorithms, temporal-diff…