Learning expensive coordination: An event-based deep RL approach
Existing works in deep Multi-Agent Reinforcement Learning (MARL) mainly focus on coordinating cooperative agents to complete certain tasks jointly. However, in many cases of the real world, agents are self-interested such as employees in a company and clubs in a league. Therefore, the leader, i.e.,...
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| Main Authors: | , , , , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2020
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| Online Access: | https://ink.library.smu.edu.sg/sis_research/9147 https://ink.library.smu.edu.sg/context/sis_research/article/10150/viewcontent/108_learning_expensive_coordination_av.pdf |
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| Institution: | Singapore Management University |
| Language: | English |