A Reinforcement Learning Scheme for a Partially-Observable Multi-Agent Game.

We formulate an automatic strategy acquisition problem for the multi-agent card game "Hearts" as a reinforcement learning problem. The problem can approximately be dealt with in the framework of a partially observable Markov decision process (POMDP) for a single-agent system. Hearts is an...

詳細記述

書誌詳細

出版年:	Machine learning. 59, 1-2 (2005).
第一著者:	Ishii, Shin
フォーマット:	論文
言語:	English
主題:	Reinforcement learning. POMDP. Multi-agent system. Card game. Model-based.