Asynchronous Methods for Deep Reinforcement Learning

4 February 2016

Volodymyr Mnih

Adria Puigdomenech Badia

David Silver

Papers citing "Asynchronous Methods for Deep Reinforcement Learning"

46 / 1,546 papers shown

Title
Learning What Data to Learn Yang Fan Fei Tian Tao Qin Jiang Bian Tie-Yan Liu 15 79 0 28 Feb 2017
Learning Control for Air Hockey Striking using Deep Reinforcement Learning Ayal Taitler N. Shimkin 17 10 0 26 Feb 2017
Online Meta-learning by Parallel Algorithm Competition Stefan Elfwing E. Uchibe Kenji Doya 31 22 0 24 Feb 2017
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning Briland Hitaj G. Ateniese Fernando Perez-Cruz FedML 58 1,380 0 24 Feb 2017
Active One-shot Learning Mark P. Woodward Chelsea Finn VLM OffRL 13 130 0 21 Feb 2017
Real-time visual tracking by deep reinforced decision making Janghoon Choi Junseok Kwon Kyoung Mu Lee 16 41 0 21 Feb 2017
Learning to Multi-Task by Active Sampling Sahil Sharma Ashutosh Jha Parikshit Hegde Balaraman Ravindran 21 21 0 20 Feb 2017
Preparing for the Unknown: Learning a Universal Policy with Online System Identification Wenhao Yu Jie Tan Chenxi Liu Greg Turk OffRL 26 306 0 08 Feb 2017
Wasserstein GAN Martín Arjovsky Soumith Chintala Léon Bottou GAN 78 4,809 0 26 Jan 2017
Learning Light Transport the Reinforced Way Ken Dahm A. Keller 20 62 0 25 Jan 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 104 1,505 0 25 Jan 2017
Regularizing Neural Networks by Penalizing Confident Output Distributions Gabriel Pereyra George Tucker J. Chorowski Lukasz Kaiser Geoffrey E. Hinton NoLa 39 1,127 0 23 Jan 2017
The Predictron: End-To-End Learning and Planning David Silver H. V. Hasselt Matteo Hessel Tom Schaul A. Guez ... Gabriel Dulac-Arnold David P. Reichert Neil C. Rabinowitz André Barreto T. Degris 23 289 0 28 Dec 2016
Loss is its own Reward: Self-Supervision for Reinforcement Learning Evan Shelhamer Parsa Mahmoudieh Max Argus Trevor Darrell SSL 24 186 0 21 Dec 2016
DeepMind Lab Charlie Beattie Joel Z Leibo Denis Teplyashin Tom Ward Marcus Wainwright ... Stephen Gaffney Helen King Demis Hassabis Shane Legg Stig Petersen 22 240 0 12 Dec 2016
Towards better decoding and language model integration in sequence to sequence models J. Chorowski Navdeep Jaitly 17 368 0 08 Dec 2016
Combining Deep Reinforcement Learning and Safety Based Control for Autonomous Driving Xincheng Xiong Jianqiang Wang Fang Zhang Keqiang Li 31 66 0 01 Dec 2016
Neural Combinatorial Optimization with Reinforcement Learning Irwan Bello Hieu H. Pham Quoc V. Le Mohammad Norouzi Samy Bengio 71 1,461 0 29 Nov 2016
Nonparametric General Reinforcement Learning Jan Leike OffRL 39 26 0 28 Nov 2016
Dense Captioning with Joint Inference and Visual Context L. Yang K. Tang Jianchao Yang Li-Jia Li VLM 30 169 0 21 Nov 2016
Local minima in training of neural networks G. Swirszcz Wojciech M. Czarnecki Razvan Pascanu ODL 37 73 0 19 Nov 2016
Reinforcement Learning with Unsupervised Auxiliary Tasks Max Jaderberg Volodymyr Mnih Wojciech M. Czarnecki Tom Schaul Joel Z Leibo David Silver Koray Kavukcuoglu SSL 13 1,222 0 16 Nov 2016
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning Haoran Tang Rein Houthooft Davis Foote Adam Stooke Xi Chen Yan Duan John Schulman F. Turck Pieter Abbeel OffRL 60 760 0 15 Nov 2016
How to scale distributed deep learning? Peter H. Jin Qiaochu Yuan F. Iandola Kurt Keutzer 3DH 27 136 0 14 Nov 2016
RL $^2$ : Fast Reinforcement Learning via Slow Reinforcement Learning Yan Duan John Schulman Xi Chen Peter L. Bartlett Ilya Sutskever Pieter Abbeel OffRL 35 1,008 0 09 Nov 2016
Q-Prop: Sample-Efficient Policy Gradient with An Off-Policy Critic S. Gu Timothy Lillicrap Zoubin Ghahramani Richard Turner Sergey Levine OffRL BDL 32 343 0 07 Nov 2016
Playing SNES in the Retro Learning Environment Nadav Bhonker Shai Rozenberg Itay Hubara 26 19 0 07 Nov 2016
Learning to Perform Physics Experiments via Deep Reinforcement Learning Misha Denil Pulkit Agrawal Tejas D. Kulkarni Tom Erez Peter W. Battaglia Nando de Freitas AI4CE 46 339 0 06 Nov 2016
Learning to Act by Predicting the Future Alexey Dosovitskiy V. Koltun 29 280 0 06 Nov 2016
Combining policy gradient and Q-learning Brendan O'Donoghue Rémi Munos Koray Kavukcuoglu Volodymyr Mnih OffRL OnRL 30 139 0 05 Nov 2016
Learning and Transfer of Modulated Locomotor Controllers N. Heess Greg Wayne Yuval Tassa Timothy Lillicrap Martin Riedmiller David Silver 35 207 0 17 Oct 2016
Sim-to-Real Robot Learning from Pixels with Progressive Nets Andrei A. Rusu Matej Vecerík Thomas Rothörl N. Heess Razvan Pascanu R. Hadsell 39 532 0 13 Oct 2016
Collective Robot Reinforcement Learning with Distributed Asynchronous Guided Policy Search Ali Yahya A. Li Mrinal Kalakrishnan Yevgen Chebotar Sergey Levine OffRL 23 155 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 1,512 0 16 Sep 2016
The Option-Critic Architecture Pierre-Luc Bacon J. Harb Doina Precup OffRL 19 1,071 0 16 Sep 2016
Reward Augmented Maximum Likelihood for Neural Structured Prediction Mohammad Norouzi Samy Bengio Zhehuai Chen Navdeep Jaitly M. Schuster Yonghui Wu Dale Schuurmans 35 252 0 01 Sep 2016
Memory-Efficient Backpropagation Through Time A. Gruslys Rémi Munos Ivo Danihelka Marc Lanctot Alex Graves 35 228 0 10 Jun 2016
Safe and Efficient Off-Policy Reinforcement Learning Rémi Munos T. Stepleton Anna Harutyunyan Marc G. Bellemare OffRL 69 609 0 08 Jun 2016
Unifying Count-Based Exploration and Intrinsic Motivation Marc G. Bellemare S. Srinivasan Georg Ostrovski Tom Schaul D. Saxton Rémi Munos 31 1,456 0 06 Jun 2016
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 18 5,029 0 05 Jun 2016
Option Discovery in Hierarchical Reinforcement Learning using Spatio-Temporal Clustering A. Srinivas Ramnandan Krishnamurthy Peeyush Kumar Balaraman Ravindran 19 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 30 377 0 25 Apr 2016
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation Tejas D. Kulkarni Karthik Narasimhan A. Saeedi J. Tenenbaum 25 1,127 0 20 Apr 2016
Learning values across many orders of magnitude H. V. Hasselt A. Guez Matteo Hessel Volodymyr Mnih David Silver 17 169 0 24 Feb 2016
Value Iteration Networks Aviv Tamar Yi Wu G. Thomas Sergey Levine Pieter Abbeel 29 649 0 09 Feb 2016
NetVLAD: CNN architecture for weakly supervised place recognition Relja Arandjelović Petr Gronát Akihiko Torii Tomas Pajdla Josef Sivic 3DV SSL 82 2,612 0 23 Nov 2015