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Lecture 2, 2025, Stochastic finite and infinite horizon DP, approximation in value and policy space

Reinforcement Learning, Model Predictive Control, and the Newton Step for Solving Bellman's Equation

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The failure of theoretical error bounds in Reinforcement Learning.

Computer chess with model predictive control and reinforcement learning

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AI Learns to Walk (deep reinforcement learning)

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Abstract Dynamic Programming, Reinforcement Learning, Newton's Method, and Gradient Optimization

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The Time Paradox Hidden Inside Feynman’s Nobel Prize Work

Lecture 1, 2024, course overview: RL and DP, AlphaZero, discrete and continuous applications

Plenary lecture at IFAC Nonlinear MPC, 2024; Model Predictive Control and Reinforcement Learning

26. Chernobyl — How It Happened