Dynamic Programming
A fundamental algorithm used to compute closed-loop optimal policies, derived here for discrete time and extended to continuous time.
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Videos Mentioning Dynamic Programming
Stanford AA274A Principles of Robotic Autonomy | Autumn 2019 | Trajectory Tracking
Stanford Online
A method for solving stochastic optimal control problems, often studied in graduate computer science and reinforcement learning courses.
Stanford AA274A Principles of Robotic Autonomy | Autumn 2019 | Trajectory Optimization
Stanford Online
A method for solving complex problems by breaking them down into simpler subproblems, developed by Richard Bellman.
AStanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 8: Nonlinearity
Stanford Online
A fundamental algorithm used to compute closed-loop optimal policies, derived here for discrete time and extended to continuous time.
Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 17: RL Value-Based Methods
Stanford Online
A method used to solve Markov Decision Processes by relying on the principle of optimality, requiring knowledge of system dynamics.