ECE 276B. Planning and Learning in Robotics (4 units)
Link to catalog page: https://catalog.ucsd.edu/courses/ECE.html#ece276b
Description
This course covers optimal control and reinforcement learning fundamentals and their application to planning and decision-making in mobile robotics. Topics include Markov decision processes (MDP), Pontryagin’s maximum principle, linear quadratic regulation (LQR), deterministic planning, value and policy iteration, and policy gradient methods. Prerequisites: ECE 276A; graduate standing.
Prerequisite courses
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Successor courses
ECE 276B is a prerequisite of the following 1 courses: