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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格式: | Thesis-Master by Research |
語言: | English |
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Nanyang Technological University
2022
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在線閱讀: | https://hdl.handle.net/10356/159448 |
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機構: | Nanyang Technological University |
語言: | English |