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Learning with whom to communicate using relational reinforcement learning

Autor: Ponsen, Marc J. V., Croonenborghs, Tom, Tuyls, Karl, Ramon, Jan, Driessens, Kurt, Herik, H. Jaap van den, Postma, Eric O., Babuska, Robert, Groen, Frans C. A.

Publikováno v: Studies in Computational Intelligence, 45-65
STARTPAGE=45;ENDPAGE=65;TITLE=Studies in Computational Intelligence
Interactive Collaborative Information Systems, 45-63
STARTPAGE=45;ENDPAGE=63;TITLE=Interactive Collaborative Information Systems
Interactive Collaborative Information Systems ISBN: 9783642116872
AAMAS (2)

Relational reinforcement learning is a promising direction within reinforcement learning research. It upgrades reinforcement learning techniques using relational representations for states, actions, and learned value functions or policies to allow na

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::245b6a0b6cad924c075932c7afa141e9
https://research.tilburguniversity.edu/en/publications/e8c04a80-abc2-4db1-84f0-c9fc01850e3c

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Dynamic Partition of Collaborative Multiagent Based on Coordination Trees.

Autor: Min, Fang, Groen, Frans C. A., Hao, Li

Publikováno v: Intelligent Autonomous Systems 12; 2013, p503-510, 8p

Traffic Light Control by Multiagent Reinforcement Learning Systems.

Autor: Bakker, Bram, Whiteson, Shimon, Kester, Leon, Groen, Frans C. A.

Publikováno v: Interactive Collaborative Information Systems; 2010, p475-510, 36p