CPSC 533-V Learning to Move January 2020
This course is about learning to control the movement of humans, animals, and robots, with application to character animation, computer vision, robotics, and biological motor control. Much of the course will focus on (deep) reinforcement learning, which has seen many advances over the past 5 years.
Topics include kinematic and dynamic models of motion,
basics of physics-based simulation, classical control methods, dynamic programming,
and deep reinforcement learning. Background material will be introduced as necessary.
Prior experience in computer graphics, robotics, introductory reinforcement learning,
and deep learning will be helpful, but is not necessary.
|Lectures||Tue Thu 11-12:20pm DMP 101     Jan 7 - Apr 7, 2020|
|Grading||Assignments (45%); Readings, Presentations, and Discussion (20%); Project (35%)|
|Instructor||Michiel van de Panne office hrs: Wed 3-4:30pm, or by appt (ICCS x865)|
|Resources||Questions and discussion: CPSC 533V on Piazza RL resources|
|Assignments||a1: reading a2: simulation a3: tabular Q learning a4: DQN a5: PG-PPO paper presentations project.pdf|