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Workshop
Sat Dec 14 08:00 AM -- 07:00 PM (PST) @ West Exhibition Hall C
Deep Reinforcement Learning
Pieter Abbeel · Chelsea Finn · Joelle Pineau · David Silver · Satinder Singh · Joshua Achiam · Carlos Florensa · Christopher Grimm · Haoran Tang · Vivek Veeriah





Workshop Home Page

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 multiagent interaction. 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.

Welcome Comments (Talk)
Grandmaster Level in StarCraft II using Multi-Agent Reinforcement Learning - Invited Talk (Talk)
Oriol Vinyals
Contributed Talks (Talk)
Jie Tang, Yijie Guo, Danijar Hafner
Bayes-Adaptive Deep Reinforcement Learning via Meta-Learning - Invited Talk (Talk)
Shimon Whiteson
Coffee Break (Break)
Optico: A Framework for Model-Based Optimization with MuJoCo Physics - Invited Talk (Talk)
Emo Todorov
Contributed Talks (Talk)
Kevin Lu, Matthew Hausknecht, Ofir Nachum
Late-Breaking Papers (Talks) (Talk)
David Silver, Simon Du, Matthias Plappert
Invited Talk (Talk)
Emma Brunskill
Contributed Talks (Talk)
Rishabh Agarwal, Adam Gleave, Kimin Lee
Poster Session
Matthia Sabatelli, Adam Stooke, Amir Abdi, Paulo Rauber, Leonard Adolphs, Ian Osband, Hardik Meisheri, Karol Kurach, Johannes Ackermann, Matt Benatan, GUO ZHANG, Chen Tessler, Dinghan Shen, Mikayel Samvelyan, Riashat Islam, Murtaza Dalal, Luke Harries, Andrey Kurenkov, Konrad Żołna, Sudeep Dasari, Kristian Hartikainen, Ofir Nachum, Kimin Lee, Markus Holzleitner, Vu Nguyen, Francis Song, Christopher Grimm, Leno Silva, Yuping Luo, Yifan Wu, Alex Lee, Thomas Paine, Wei-Yang Qu, Daniel Graves, Yannis Flet-Berliac, Yunhao Tang, Suraj Nair, Matthew Hausknecht, Akhil Bagaria, Simon Schmitt, Bowen Baker, Paavo Parmas, Benjamin Eysenbach, Lisa Lee, Siyu Lin, Daniel Seita, Abhishek Gupta, Riley Simmons-Edler, Yijie Guo, Kevin Corder, Vikash Kumar, Scott Fujimoto, Adam Lerer, Ignasi Clavera Gilaberte, Nick Rhinehart, Ashvin Nair, Ge Yang, Lingxiao Wang, Sungryull Sohn, JFernando Hernandez-Garcia, Xian Yeow Lee, Rupesh Srivastava, Khimya Khetarpal, Chenjun Xiao, Luckeciano Carvalho Melo, Rishabh Agarwal, Tianhe (Kevin) Yu, Glen Berseth, Devendra Singh Chaplot, Jie Tang, Anirudh Srinivasan, Tharun Medini, Aaron Havens, Misha Laskin, Asier Mujika, Rohan Saphal, Joe Marino, Alex Ray, Joshua Achiam, Ajay Mandlekar, Zhuang Liu, Danijar Hafner, Zhiwen Tang, Ted Xiao, Michael Walton, Jeff Druce, Ferran Alet, Zhang-Wei Hong, Stephanie Chan, Anusha Nagabandi, Hao Liu, Hao Sun, Ge Liu, Dinesh Jayaraman, JD Co-Reyes, Sophia Sanborn
NeurIPS RL Competitions Results Presentations (Demonstration)
Assessing the Robustness of Deep RL Algorithms - Invited Talk (Talk)
Michael L. Littman
Panel Discussion (Panel)