Farshid

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About

Reinforcement Learning Methods
  • Dynamic Programming (DP) [89]
  • Monte Carlo [94]
  • Temporal-Difference [88]
  • Q-Learning (Off-policy TD algorithm) [89]
  • Sarsa (On-policy TD algorithm) [94]
  • R-Learning (learning of relative values) [93]
  • Function Approximation methods (Least-Square Temporal Difference, Least-Square Policy Iteration) [96]
  • Policy Search / Policy Gradient [99]
  • Hierarchical RL [99]
  • Deep Learning + Reinforcement Learning [2014]
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