Evolutionary transfer learning for complex multi-agent reinforcement learning systems
Multi-agent systems (MAS) are computerized systems composing of multiple interacting and autonomous agents within a common environment of interest for problem-solving. Since the behavioral strategies of agents in conventional MAS are usually manually defined in advance, the development of intelligen...
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| Format: | Thesis |
| Language: | English |
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2017
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| Online Access: | http://hdl.handle.net/10356/72997 |