CS285

CS 285 at UC Berkeley

Deep Reinforcement Learning

Lectures: Mon/Wed 5-6:30 p.m., Online


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 2021 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 2021) offering of the course: watch here

Looking for deep RL course materials from past years?

Recordings of lectures from Fall 2020 are here, and materials from previous offerings are here.
  • Instructor Sergey Levine

    svlevine@eecs.berkeley.edu

    Office Hours: After lecture

  • Head GSI Dhruv Shah

    shah@eecs.berkeley.edu

    Office Hours: Thursday 4-5pm

  • GSI Xinyun Chen

    xinyun.chen@berkeley.edu

    Office Hours: Tuesday 4-5pm

  • GSI Kevin Li

    kevintli@berkeley.edu

    Office Hours: Tuesday 5-6pm

  • GSI Jensen Gao

    jenseng@berkeley.edu

    Office Hours: Monday 11am-12pm

  • uGSI Anikait Singh

    asap7772@berkeley.edu

    Office Hours: Friday 4-5pm

Week 1 Overview

Course Introduction, Imitation Learning

Week 2 Overview

Imitation Learning

Week 3 Overview

Intro to RL

Week 4 Overview

Policy Gradients and Actor Critic

Week 5 Overview

Value Functions and Q-learning

Week 6 Overview

Advanced Policy Gradients and Model-based learning

Week 7 Overview

Advanced Model Learning and Imitating Optimal Controllers

Week 10 Overview

RL Algorithm Design and Variational Inference