Asynchronous Methods for Deep Reinforcement Learning

Asynchronous Methods for Deep Reinforcement Learning

4 February 2016

Adria Puigdomenech Badia

Timothy Lillicrap

David Silver

Koray Kavukcuoglu

Papers citing "Asynchronous Methods for Deep Reinforcement Learning"

17 / 1,767 papers shown

Title
Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates S. Gu E. Holly Timothy Lillicrap Sergey Levine OffRL SSL 56 1,473 0 03 Oct 2016
Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning Yuke Zhu Roozbeh Mottaghi Eric Kolve Joseph J. Lim Abhinav Gupta Li Fei-Fei Ali Farhadi VGen 30 1,515 0 16 Sep 2016
The Option-Critic Architecture Pierre-Luc Bacon J. Harb Doina Precup OffRL 21 1,073 0 16 Sep 2016
Reward Augmented Maximum Likelihood for Neural Structured Prediction Mohammad Norouzi Samy Bengio Zhiwen Chen Navdeep Jaitly M. Schuster Yonghui Wu Dale Schuurmans 35 253 0 01 Sep 2016
Progressive Neural Networks Andrei A. Rusu Neil C. Rabinowitz Guillaume Desjardins Hubert Soyer J. Kirkpatrick Koray Kavukcuoglu Razvan Pascanu R. Hadsell CLL AI4CE 9 2,418 0 15 Jun 2016
Memory-Efficient Backpropagation Through Time A. Gruslys Rémi Munos Ivo Danihelka Marc Lanctot Alex Graves 37 228 0 10 Jun 2016
Safe and Efficient Off-Policy Reinforcement Learning Rémi Munos T. Stepleton Anna Harutyunyan Marc G. Bellemare OffRL 86 610 0 08 Jun 2016
Deep Successor Reinforcement Learning Tejas D. Kulkarni A. Saeedi Simanta Gautam S. Gershman 32 208 0 08 Jun 2016
Unifying Count-Based Exploration and Intrinsic Motivation Marc G. Bellemare S. Srinivasan Georg Ostrovski Tom Schaul D. Saxton Rémi Munos 95 1,462 0 06 Jun 2016
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 131 5,042 0 05 Jun 2016
Option Discovery in Hierarchical Reinforcement Learning using Spatio-Temporal Clustering A. Srinivas Ramnandan Krishnamurthy Peeyush Kumar Balaraman Ravindran 27 41 0 17 May 2016
A Deep Hierarchical Approach to Lifelong Learning in Minecraft Chen Tessler Shahar Givony Tom Zahavy D. Mankowitz Shie Mannor CLL 61 377 0 25 Apr 2016
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation Tejas D. Kulkarni Karthik Narasimhan A. Saeedi J. Tenenbaum 25 1,128 0 20 Apr 2016
Learning values across many orders of magnitude H. V. Hasselt A. Guez Matteo Hessel Volodymyr Mnih David Silver 27 169 0 24 Feb 2016
Value Iteration Networks Aviv Tamar Yi Wu G. Thomas Sergey Levine Pieter Abbeel 41 650 0 09 Feb 2016
State of the Art Control of Atari Games Using Shallow Reinforcement Learning Yitao Liang Marlos C. Machado Erik Talvitie Michael Bowling 21 113 0 04 Dec 2015
NetVLAD: CNN architecture for weakly supervised place recognition Relja Arandjelović Petr Gronát Akihiko Torii Tomas Pajdla Josef Sivic 3DV SSL 88 2,615 0 23 Nov 2015