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...
| Pubblicato in: | Machine learning. 59, 1-2 (2005). |
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| Natura: | Articolo |
| Lingua: | English |
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