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 3 (Q-Learning and Actor Critic) is now released.

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

Announcement: The final project outline has been released.


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 Berkeley Way West 1204

  • GSI Vivek Myers

    vmyers@berkeley.edu

  • GSI Kevin Black

    kvablack@berkeley.edu

    Office Hours: Tue 9a-10a in Berkeley Way West 1212

  • GSI Pranav Atreya

    pranavatreya@berkeley.edu

    Office Hours: Mon 5p-6p in Berkeley Way West 1216

  • GSI Mitsuhiko Nakamoto

    nakamoto@eecs.berkeley.edu

    Office Hours: Thursday 4p-5p Berkeley Way West 1204

  • GSI Catherine Glossop

    catherine_glossop@berkeley.edu

    Office Hours: Thu 10a-11a in Berkeley Way West 1211

Week 1 Overview

Course Intro & Imitation Learning

Week 2 Overview

Imitation Learning & RL Basics

Final Project Information

Homeworks

See Syllabus for more information (including rough schedule).

Discussion Section Slides

See Syllabus for more information.