CS294-112

CS 294-112 at UC Berkeley

Deep Reinforcement Learning

Lectures: Wed/Fri 10-11:30 a.m., Soda Hall, Room 306


The lectures will be streamed and recorded. The course is not being offered as an online course, and the videos are provided only for your personal informational and entertainment purposes. They are not part of any course requirement or degree-bearing university program.


Enrollment is now closed. If you are not officially enrolled through CalCentral, please direct your questions to the subreddit.


Materials from previous offerings of this course are available here.

  • Instructor Sergey Levine

    svlevine@eecs.berkeley.edu

    Office Hours: Wed 11:30am - 12:30pm (Soda 341B)

  • Head GSI Kate Rakelly

    rakelly@eecs.berkeley.edu

    Office Hours: Tue 11am - 12pm (Soda 651)

  • GSI Gregory Kahn

    gkahn@berkeley.edu

    Office Hours: Thu 1pm - 2pm (Soda 411)

  • GSI Sid Reddy

    sgr@berkeley.edu

    Office Hours: Fri 3pm - 4pm (Soda 411)

  • GSI Michael Chang

    mbchang@berkeley.edu

    Office Hours: Mon 5pm - 6pm (Soda 341B)

  • uGSI Soroush Nasiriany

    snasiriany@berkeley.edu

Week 1 Overview

Course Introduction, Imitation Learning

Week 3 Overview

Policy Gradients and Actor Critic

Week 4 Overview

Q-Learning

Week 5 Overview

Advanced Policy Gradients and Control

Week 6 Overview

Model Based Reinforcement Learning

Week 8 Overview

Inference and Control

Lecture Slides

See Syllabus for more information.