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• Reinforcement Learning Course at ASU, Spring, 2021

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• Lecture 11, 2024: On-line training, neural networks, and other approximation architectures

  Reinforcement Learning Course at ASU, Spring, 2021 · 2024-03-30

• Lecture 4, 2024, POMDP, Systems with Changing Parameters, Adaptive Control, Model Predictive Control

  Reinforcement Learning Course at ASU, Spring, 2021 · 2024-02-02

• Lecture 13, 2021: An overview of the entire course. Discussion. ASU.

  Reinforcement Learning Course at ASU, Spring, 2021 · 2021-04-08

• Lecture 12, 2021: Aggregation methods and approximation in value space. ASU.

  Reinforcement Learning Course at ASU, Spring, 2021 · 2021-04-01

• Lecture 11, 2021: Linear programming, policy approximation, policy gradients. ASU.

  Reinforcement Learning Course at ASU, Spring, 2021 · 2021-03-25

• Lecture 10, 2021: Approximate policy iteration, Q-learning, parallel versions. ASU.

  Reinforcement Learning Course at ASU, Spring, 2021 · 2021-03-18

• Lecture 9, 2021: Infinite horizon theory and algorithms. ASU.

  Reinforcement Learning Course at ASU, Spring, 2021 · 2021-03-11

• Lecture 8, 2021: Neural networks, off-line training. ASU.

  Reinforcement Learning Course at ASU, Spring, 2021 · 2021-03-04

• Lecture 7, 2021: Constrained forms of rollout, discrete optimization, ASU.

  Reinforcement Learning Course at ASU, Spring, 2021 · 2021-02-25

• Lecture 6, 2021: Model Predictive Control, ASU.

  Reinforcement Learning Course at ASU, Spring, 2021 · 2021-02-18

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