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Finite-time error bounds for distributed linear stochastic approximation.

Yixuan LinVijay GuptaJi Liu
Published in: Autom. (2024)
Keyphrases
  • error bounds
  • stochastic approximation
  • theoretical analysis
  • monte carlo
  • worst case
  • multi agent
  • policy iteration
  • neural network
  • machine learning
  • fixed point