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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

Mar 30, 2024 · Dimitri Bertsekas

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

Feb 2, 2024 · Dimitri Bertsekas

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

Apr 8, 2021 · Dimitri Bertsekas

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

Apr 1, 2021 · Dimitri Bertsekas

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

Mar 25, 2021 · Dimitri Bertsekas

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

Mar 18, 2021 · Dimitri Bertsekas

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

Mar 11, 2021 · Dimitri Bertsekas

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

Mar 4, 2021 · Dimitri Bertsekas

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

Feb 25, 2021 · Dimitri Bertsekas

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Lecture 6, 2021: Model Predictive Control, ASU.

Feb 18, 2021 · Dimitri Bertsekas

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