Multi-agent reinforcement learning for complex sequential decision-making

Many tasks involve multiple agents and require sequential decision-making policies to achieve common goals, such as football games, real-time strategy games, and traffic light control in the road network. To obtain the policies of all agents, these problems can be modeled as multi-agent systems and...

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Bibliographic Details
Main Author: Qiu, Wei
Other Authors: Bo An
Format: Thesis-Doctor of Philosophy
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/173035
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Institution: Nanyang Technological University
Language: English
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