Reinforcement Learning and the Game of Nim
This paper treats the concept of Reinforcement Learning (RL) applied to finding the winning strategy of the mathematical game Nim. Two algorithms, Q-learning and SARSA, were compared using several different sets of parameters in three different training regimes. Ananalysis on scalability was also un...
| Main Authors: | , |
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| Format: | Others |
| Language: | English |
| Published: |
KTH, Skolan för teknikvetenskap (SCI)
2015
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| Subjects: | |
| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-168213 |