Learning to play against any mixture of opponents

Learning to play against any mixture of opponents

Intuitively, experience playing against one mixture of opponents in a given domain should be relevant for a different mixture in the same domain. If the mixture changes, ideally we would not have to train from scratch, but rather could transfer what we have learned to construct a policy to play agai...

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Bibliografske podrobnosti
Main Authors: Max Olan Smith, Thomas Anthony, Michael P. Wellman
Format: Article
Jezik:English
Izdano: Frontiers Media S.A. 2023-07-01
Serija:Frontiers in Artificial Intelligence
Teme:
reinforcement learning (RL)
transfer learning (TL)
deep reinforcement learning (deep RL)
value-based reinforcement learning
multi-agent learning
Online dostop:https://www.frontiersin.org/articles/10.3389/frai.2023.804682/full

Internet

https://www.frontiersin.org/articles/10.3389/frai.2023.804682/full

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