Reinforcement learning for collective multi-agent decision making
In this thesis, we study reinforcement learning algorithms to collectively optimize decentralized policy in a large population of autonomous agents. We notice one of the main bottlenecks in large multi-agent system is the size of the joint trajectory of agents which quickly increases with the number...
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2018
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| Online Access: | https://ink.library.smu.edu.sg/etd_coll/162 https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1162&context=etd_coll |
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| Institution: | Singapore Management University |
| Language: | English |