CS 185/285

CS 185/285 at UC Berkeley

Deep Reinforcement Learning

Lectures: 9 - 10 am on Wednesdays and 8 - 10 am on Fridays, both in Hearst Annex A1


Announcement: Homework 2 (Policy Gradients) is out and due Feb 25th at 11:59 pm.

Announcement: The final project outline has been released.

Announcement: Homework 1 (Imitation Learning) is out and due Feb 11th at 11:59 pm.

Lecture recordings from the current (Spring 2026) offering of the course: TBD (link coming soon).

Looking for deep RL course materials from past years?

Recordings of lectures from Fall 2023 are here, and materials from previous offerings are here.

Email all staff (preferred): cs285-staff-sp2026@lists.eecs.berkeley.edu

  • Instructor Sergey Levine

    svlevine@eecs.berkeley.edu

    Office Hours: Wednesdays 8 - 9 AM in Hearst Annex A1

  • Head GSI Seohong Park

    seohong@berkeley.edu

    Office Hours: Fri 1:15p-2:15p in Soda Alcove 411

  • GSI Vivek Myers

    vmyers@berkeley.edu

  • GSI Kevin Black

    kvablack@berkeley.edu

    Office Hours: Tue 9a-10a in Soda Alcove 411

  • GSI Pranav Atreya

    pranavatreya@berkeley.edu

    Office Hours: Mon 5p-6p in Soda Alcove 411

  • GSI Mitsuhiko Nakamoto

    nakamoto@eecs.berkeley.edu

    Office Hours: Thu 4p-5p in Soda Alcove 411

  • GSI Catherine Glossop

    catherine_glossop@berkeley.edu

    Office Hours: Thu 10a-11a in Soda Alcove 411

Week 1 Overview

Course Intro & Imitation Learning

Monday, January 19 – Friday, January 23

Week 2 Overview

Imitation Learning & RL Basics

Monday, January 26 – Friday, January 30

Week 3 Overview

Policy Gradients & Actor Critic

Monday, February 2 – Friday, February 6

Final Project Information

Homeworks

See Syllabus for more information (including rough schedule).

Lecture Slides

See Syllabus for more information.

Discussion Section Slides

See Syllabus for more information.