Deep Reinforcement Learning Symposium, NIPS 2017

Important Dates

Friday November 3, 2017 : Paper submission deadline

Monday November 20, 2017: Paper acceptance notification

Thursday December 7, 2017: Symposium


Call for Papers

We invite you to submit papers that combine neural networks with reinforcement learning, which will be presented as talks or posters. The deadline is November 3rd (midnight PST), and decisions will be sent out on November 20th. Please submit papers through this link. Submissions should be in the NIPS 2017 format with a maximum of eight pages, not including references. The review process is double-blind. Accepted submissions will be presented in the form of posters or contributed talks.


Abstract

Although the theory of reinforcement learning addresses an extremely general class of learning problems with a common mathematical formulation, its power has been limited by the need to develop task-specific feature representations. A paradigm shift is occurring as researchers figure out how to use deep neural networks as function approximators in reinforcement learning algorithms; this line of work has yielded remarkable empirical results in recent years. This workshop will bring together researchers working at the intersection of deep learning and reinforcement learning, and it will help researchers with expertise in one of these fields to learn about the other.


Schedule

  • Tentative symposium schedule:

3:00 - 3:30 Invited Talk: David Silver (Google Deepmind)

3:30 - 4:00 contributed talks (3 x 10 minutes)

4:00 - 4:30 Invited Talk: Joelle Pineau (McGill)

4:30 - 4:45 break

4:45 - 5:30 late breaking invited talks (3 x 15 minutes)

5:30 - 6:00 contributed talks (3 x 10 minutes)

6:00 - 7:00 poster session / snacks

7:00 - 7:30 Invited Talk: Ben Van Roy (Stanford)

7:30 - 8:00 contributed talks (3 x 10 minutes)

8:00 - 8:30 Invited Talk: Michael Bowling (Alberta)

8:30 - 9:00 late breaking invited talks (2 x 15 minutes)

9:00 - 9:30 invited Talk: Ruslan Salakhutdinov (CMU)


Program Committee

  • Rocky Duan
  • Rein Houthooft
  • Junhyuk Oh
  • Marcin Andrychowicz
  • Richard Y. Chen
  • Thomas Degris
  • Prafulla Dhariwal
  • Chelsea Finn
  • Jakob Foerster
  • Arthur Guez
  • Shixiang Gu
  • Xiaoxiao Guo
  • Jean Harb
  • Matt Hausknecht
  • Max Jaderberg
  • Alex Lee
  • Ryan Lowe
  • Vlad Mnih
  • Emilio Parisotto
  • Janarthanan Rajendran
  • Aravind Rajeswaran
  • Tim Salimans
  • Sainbayar Sukhbaatar
  • Arthur Szlam
  • Aviv Tamar
  • Haoran Tang
  • Yuandong Tian
  • Alex Vezhnevets
  • Markus Wulfmeier