Hierarchical method for cooperative multiagent reinforcement learning in Markov decision processes

DOI10.1134/S1064562423701132OpenAlexW4392646430MaRDI QIDQ6204289

A. N. Alfimtsev, V. E. Bolshakov

Publication date: 27 March 2024

Published in: Doklady Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1134/s1064562423701132

zbMATH Keywords

sparse rewardsmultiagent reinforcement learninghierarchical learningsubgoal discoverycentralized learning with decentralized executionhindsight experience replay

Mathematics Subject Classification ID

Computational methods in Markov chains (60J22) Computational learning theory (68Q32) Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

• Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning
• Recent advances in hierarchical reinforcement learning
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