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Using Memory-Based Learning to Solve Tasks with State-Action Constraints.

Mrinal VergheseChris Atkeson
Published in: CoRR (2023)
Keyphrases
  • memory based learning
  • state action
  • reinforcement learning
  • nearest neighbor search
  • machine learning
  • feature extraction
  • belief revision
  • function approximators
  • state transitions