CS 285 at UC Berkeley

Deep Reinforcement Learning

Lectures: Mon/Wed 5-6:30 p.m., Li Ka Shing 245

IMPORTANT: If you are an undergraduate or 5th year MS student, or a non-EECS graduate student, please fill out this form to apply for enrollment into the Fall 2022 version of the course. Do not email the course instructors about enrollment -- all students who fill out the form will be reviewed. We will enroll off of this form during the first week of class. We will not be using the official CalCentral wait list, just this form.

Lecture recordings from the current (Fall 2022) offering of the course: watch here

Looking for deep RL course materials from past years?

Recordings of lectures from Fall 2021 are here, and materials from previous offerings are here.
  • Instructor Sergey Levine


    Office Hours: After lecture

  • Head GSI Marwa Abdulhai


    Office Hours: TBD

  • GSI Homer Walke


    Office Hours: TBD

  • GSI Yuqing Du


    Office Hours: TBD

  • uGSI Zheyuan Hu


    Office Hours: TBD

  • uGSI Anikait Singh


    Office Hours: TBD


See Syllabus for more information.

  • Homework 1: Imitation Learning
  • Homework 2: Policy Gradients
  • Homework 3: Q-learning and Actor-Critic Algorithms
  • Homework 4: Model-Based Reinforcement Learning
  • Homework 5: Exploration and Offline Reinforcement Learning

Lecture Slides

See Syllabus for more information.

  • Lecture 1: Introduction and Course Overview