Deterministic limit of temporal difference reinforcement learning for stochastic games
Sign Up to like & getrecommendations! Published in 2019 at "Physical review. E"
DOI: 10.1103/physreve.99.043305
Abstract: Reinforcement learning in multiagent systems has been studied in the fields of economic game theory, artificial intelligence, and statistical physics by developing an analytical understanding of the learning dynamics (often in relation to the replicator… read more here.
Keywords: temporal difference; reinforcement; deterministic limit; reinforcement learning ... See more keywords