Deep Reinforcement Learning Workshop

NeurIPS 2022


About

In recent years, the use of deep neural networks as function approximators has enabled researchers to extend reinforcement learning techniques to solve increasingly complex control tasks. The emerging field of deep reinforcement learning has led to remarkable empirical results in rich and varied domains like robotics, strategy games, and multi-agent interactions. This workshop will bring together researchers working at the intersection of deep learning and reinforcement learning, and it will help interested researchers outside of the field gain a high-level view about the current state of the art and potential directions for future contributions.

For previous editions, please visit NeurIPS 2021, 2020, 2019, 2018, 2017, 2016, 2015.

Attending the Workshop

We will post the live-stream link here. Once it's available, chats to ask questions, GatherTown links for poster sessions, and all pre-recorded videos can be viewed through that link. NeurIPS workshop registration is required.

Important Dates and Deadlines


Invited Speakers

Jakob Foerster

University of Oxford

Tobias Gerstenberg

Stanford University

Anna Harutyunyan

DeepMind


Igor Mordatch

Google Brain

Amy Zhang

Facebook / UC Berkeley


Schedule (December 13th 2021, 8:55am-6:00pm PST)


  • 08:25 - 08:30 Welcome and Introduction

  • 08:30 - 09:00 Invited Talk

  • 09:00 - 10:00 Contributed talks

  • 10:00 - 10:30 Invited Talk

  • 10:30 - 11:00 BREAK

  • 11:00 - 11:30 Opinion Contributed Talk

  • 11:30 - 12:00 Contributed talks

  • 12:00 - 12:30 Invited Talk

  • 12:30 - 13:30 Poster session [Lunch]

  • 13:30 - 14:00 Opinion Contributed Talk

  • 14:00 - 14:30 Invited Talk

  • 14:30 - 15:00 BREAK

  • 15:00 - 15:30 Invited Talk

  • 15:30 - 16:30 Deep RL Implementation Talks

  • 16:30 - 17:30 Panel discussion [speakers from all invited talks]

  • 16:30 - 17:00 Invited Talk

  • 17:00 - 18:00 Panel discussion 2 [speakers from all invited talks]

Organizers

Karol Hausman

Google Brain / Stanford

Suraj Nair

Stanford University

Matthew Taylor

University of Alberta

Manan Tomar

University of Alberta

Risto Vuorio

University of Oxford

Martha White

University of Alberta

Ted Xiao

Google Brain

Zeyu Zheng

University of Michigan

Qi Zhang

University of South Carolina

Advisory Board

Pieter Abbeel

UC Berkeley / Covariant

Chelsea Finn

Stanford / Google

Joelle Pineau

McGill / FAIR

David Silver

DeepMind

Satinder Singh

University of Michigan / DeepMind