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Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms.

Alexander BukharinYan LiYue YuQingru ZhangZhehui ChenSimiao ZuoChao ZhangSongan ZhangTuo Zhao
Published in: CoRR (2023)
Keyphrases
  • theoretical foundation
  • multi agent reinforcement learning
  • neural network
  • theoretical framework
  • learning algorithm
  • computational complexity
  • domain knowledge
  • search space
  • information processing