UCSD ECE276B: Planning & Learning in Robotics (Spring 2025)

Date Lecture Materials Assignments
Mar 31 Introduction
Apr 02 Markov Chains Grinstead-Snell Ch. 11
Apr 07 Catch-up
Apr 09 Markov Decision Processes Bertsekas 1.1-1.2 HW1, PR1
Apr 14 Dynamic Programming Bertsekas 1.3-1.4 HW1 Solutions
Apr 16 Deterministic Shortest Path Bertsekas 2.1-2.3
Apr 21 Configuration Space LaValle 4.3, 6.2-6.3
Apr 23 Search-based Planning LaValle 2.1-2.3, JPS
Apr 28 Catch-up
Apr 30 Anytime Incremental Search RTAA*, ARA*, AD*, Anytime Search HW2, PR2
May 05 Sampling-based Planning LaValle 5.5-5.6 HW2 Solutions
May 07 Catch-up
May 12 Infinite-Horizon Optimal Control Bertsekas 7.1-7.3, Sutton-Barto Ch 4
May 14 Infinite-Horizon Optimal Control Bertsekas 7.1-7.3, Sutton-Barto Ch 4
May 19 Catch-up
May 21 Model-Free Prediction Sutton-Barto 6.1-6.3 HW3, PR3
May 26 Model-Free Control Sutton-Barto 6.4-6.7 HW3 Solutions
May 28 Value Function Approximation Sutton-Barto Ch. 9
Jun 02 Linear Quadratic Control Bertsekas 4.1
Jun 04 Continuous-Time Optimal Control Bertsekas Ch. 3, Liberzon Ch. 2.4 and Ch. 4
Jun 11 Final Exam