Electrical Engineering and Computer Science
Professor Tedrake offered an updated version of this course that can be accessed through the edX platform.
Lecture 1: Introduction
Lecture 2: The Simple Pendulum
Lecture 3: Optimal Control of the Double Integrator
Lecture 4: Optimal Control of the Double Integrator (cont.)
Lecture 5: Numerical Optimal Control (Dynamic Programming)
Lecture 6: Acrobot and Cart-pole
Lecture 7: Swing-up Control of Acrobot and Cart-pole Systems
Lecture 8: Dynamic Programming (DP) and Policy Search
Lecture 9: Trajectory Optimization
Lecture 10: Trajectory Stabilization and Iterative Linear Quadratic Regulator
Lecture 11: Walking
Lecture 12: Walking (cont.)
Lecture 13: Running
Lecture 14: Feasible Motion Planning
Lecture 15: Global Policies from Local Policies
Lecture 16: Introducing Stochastic Optimal Control
Lecture 17: Stochastic Gradient Descent
Lecture 18: Stochastic Gradient Descent 2
Lecture 19: Temporal Difference Learning
Lecture 20: Temporal Difference Learning with Function Approximation
Lecture 21: Policy Improvement
Lecture 22: Actor-critic Methods
Lecture 23: Case Studies in Computational Underactuated Control
Don't show me this again
This is one of over 2,200 courses on OCW. Find materials for this course in the pages linked along the left.
MIT OpenCourseWare is a free & open publication of material from thousands of MIT courses, covering the entire MIT curriculum.
No enrollment or registration. Freely browse and use OCW materials at your own pace. There's no signup, and no start or end dates.
Knowledge is your reward. Use OCW to guide your own life-long learning, or to teach others. We don't offer credit or certification for using OCW.
Made for sharing. Download files for later. Send to friends and colleagues. Modify, remix, and reuse (just remember to cite OCW as the source.)
Learn more at Get Started with MIT OpenCourseWare