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Reinforcement Learning Model With Dynamic State Space Tested on Target Search Tasks for Monkeys: Self-Determination of Previous States Based on Experience Saturation and Decision Uniqueness.

Tokio KatakuraMikihiro YoshidaHaruki HisanoHajime MushiakeKazuhiro Sakamoto
Published in: Frontiers Comput. Neurosci. (2021)
Keyphrases
  • reinforcement learning
  • state space
  • search tasks
  • markov decision processes
  • model free
  • user studies
  • learning algorithm
  • markov decision process