CS285

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

    svlevine@eecs.berkeley.edu

    Office Hours: After lecture

  • Head GSI Marwa Abdulhai

    marwa_abdulhai@berkeley.edu

    Office Hours: TBD

  • GSI Homer Walke

    homer_walke@berkeley.edu

    Office Hours: TBD

  • GSI Yuqing Du

    yuqing_du@berkeley.edu

    Office Hours: TBD

  • uGSI Zheyuan Hu

    huzheyuan@berkeley.edu

    Office Hours: TBD

  • uGSI Anikait Singh

    asap7772@berkeley.edu

    Office Hours: TBD

Homeworks

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