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Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning.

Zizhao WangCaroline WangXuesu XiaoYuke ZhuPeter Stone
Published in: CoRR (2024)
Keyphrases
  • reinforcement learning
  • state space
  • learning algorithm
  • function approximation
  • databases
  • case study
  • search algorithm
  • machine learning
  • high level
  • search space
  • state transition
  • markov decision process