A CBR/RL system for learning micromanagement in real-time strategy games
The gameplay of real-time strategy games can be divided into macromanagement and micromanagement. Several researchers have studied automated learning for macromanagement, using a case-based reasoning/reinforcement learning architecture to defeat both static and dynamic opponents. Unlike the previous...
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| Format: | Others |
| Language: | English |
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Norges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskap
2009
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9015 |