Robust multi-agent team behaviors in uncertain environment via reinforcement learning

Robust multi-agent team behaviors in uncertain environment via reinforcement learning

Many state-of-the-art cooperative multi-agent reinforcement learning (MARL) approaches, such as MADDPG, COMA, and QMIX have focused mainly on performing well in idealized scenarios. Agents face similar environmental conditions and opponents encountered during training. The resulting policies are of...

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Bibliographic Details
Main Author: Yan, Kok Hong
Other Authors: Bo An
Format: Thesis-Master by Research
Language:English
Published: Nanyang Technological University 2022
Subjects:
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Online Access:https://hdl.handle.net/10356/159448

Internet

https://hdl.handle.net/10356/159448

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