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Sample Complexity of Neural Policy Mirror Descent for Policy Optimization on Low-Dimensional Manifolds.

Zhenghao XuXiang JiMinshuo ChenMengdi WangTuo Zhao
Published in: CoRR (2023)
Keyphrases
  • sample complexity
  • optimal policy
  • theoretical analysis
  • learning algorithm
  • upper bound
  • machine learning
  • data analysis
  • lower bound
  • probabilistic model
  • state space
  • nonlinear dimensionality reduction