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Distributionally Robust Model-based Reinforcement Learning with Large State Spaces.

Shyam Sundhar RameshPier Giuseppe SessaYifan HuAndreas KrauseIlija Bogunovic
Published in: CoRR (2023)
Keyphrases
  • model based reinforcement learning
  • state space
  • markov decision processes
  • reinforcement learning
  • robust optimization
  • markov chain
  • machine learning
  • bayesian networks
  • concept learning