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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3211395
Abstract: The goal of this paper is to provide theoretical analysis and additional insights on a distributed temporal-difference (TD)-learning algorithm for the multi-agent Markov decision processes (MDPs) via saddle-point viewpoints. The (single-agent) TD-learning is a reinforcement…
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Keywords:
temporal difference;
policy temporal;
policy;
distributed policy ... See more keywords