Policy Distillation and Value Matching in Multiagent Reinforcement Learning
© 2019 IEEE. Multiagent reinforcement learning (MARL) algorithms have been demonstrated on complex tasks that require the coordination of a team of multiple agents to complete. Existing works have focused on sharing information between agents via centralized critics to stabilize learning or through...
Main Authors: | Wadhwania, Samir, Kim, Dong-Ki, Omidshafiei, Shayegan, How, Jonathan P. |
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Other Authors: | Massachusetts Institute of Technology. Laboratory for Information and Decision Systems |
Format: | Article |
Language: | English |
Published: |
IEEE
2021
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Online Access: | https://hdl.handle.net/1721.1/137155 |
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