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Robust Reinforcement Learning via Adversarial Kernel Approximation.

Kaixin WangUri GadotNavdeep KumarKfir LevyShie Mannor
Published in: CoRR (2023)
Keyphrases
  • reinforcement learning
  • multi agent
  • support vector
  • feature space
  • state space
  • machine learning
  • optimal policy
  • kernel methods
  • robust estimation
  • temporal difference
  • approximation error
  • temporal difference learning