Mimicking to dominate: Imitation learning strategies for success in multiagent competitive games
Training agents in multi-agent games presents significant challenges due to their intricate nature. These challenges are exacerbated by dynamics influenced not only by the environment but also by strategies of opponents. Existing methods often struggle with slow convergence and instability. To addre...
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Main Authors: | , , |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2024
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Online Access: | https://ink.library.smu.edu.sg/sis_research/9788 https://ink.library.smu.edu.sg/context/sis_research/article/10788/viewcontent/NeurIPS2024___IL_for_Competitive_Multi_agent_Games__1_.pdf |
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Institution: | Singapore Management University |
Language: | English |
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