Hierarchical multi-agent reinforcement learning with options
In recent years, there are many state-of-the-art multi-agent reinforcement learning (MARL) algorithms that aim to get multiple agents to work together to achieve a common goal. COMA is one of these breakthroughs that proposes a counterfactual baseline to address the credit assignment problem in mult...
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格式: | Final Year Project |
語言: | English |
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Nanyang Technological University
2021
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在線閱讀: | https://hdl.handle.net/10356/148028 |
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