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Asynchronous Methods for Deep Reinforcement Learning

4 February 2016

Volodymyr Mnih

Adria Puigdomenech Badia

David Silver

Papers citing "Asynchronous Methods for Deep Reinforcement Learning"

50 / 3,591 papers shown

Title
Surprise-Based Intrinsic Motivation for Deep Reinforcement Learning Joshua Achiam S. Shankar Sastry 80 238 0 06 Mar 2017
Third-Person Imitation Learning Bradly C. Stadie Pieter Abbeel Ilya Sutskever 107 234 0 06 Mar 2017
FeUdal Networks for Hierarchical Reinforcement Learning A. Vezhnevets Simon Osindero Tom Schaul N. Heess Max Jaderberg David Silver Koray Kavukcuoglu FedML 112 910 0 03 Mar 2017
Virtual-to-real Deep Reinforcement Learning: Continuous Control of Mobile Robots for Mapless Navigation L. Tai Giuseppe Paolo Ming-Yuan Liu 105 714 0 01 Mar 2017
Bridging the Gap Between Value and Policy Based Reinforcement Learning Ofir Nachum Mohammad Norouzi Kelvin Xu Dale Schuurmans 205 478 0 28 Feb 2017
Learning What Data to Learn Yang Fan Fei Tian Tao Qin Jiang Bian Tie-Yan Liu 87 79 0 28 Feb 2017
Neural Map: Structured Memory for Deep Reinforcement Learning Emilio Parisotto Ruslan Salakhutdinov 101 261 0 27 Feb 2017
Reinforcement Learning with Deep Energy-Based Policies Tuomas Haarnoja Haoran Tang Pieter Abbeel Sergey Levine 124 1,351 0 27 Feb 2017
Learning Control for Air Hockey Striking using Deep Reinforcement Learning Ayal Taitler N. Shimkin 55 10 0 26 Feb 2017
Online Meta-learning by Parallel Algorithm Competition Stefan Elfwing E. Uchibe Kenji Doya 73 22 0 24 Feb 2017
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning Briland Hitaj G. Ateniese Fernando Perez-Cruz FedML 157 1,416 0 24 Feb 2017
Active One-shot Learning Mark P. Woodward Chelsea Finn VLM OffRL 83 130 0 21 Feb 2017
Towards a Common Implementation of Reinforcement Learning for Multiple Robotic Tasks Angel Martínez-Tenor Juan-Antonio Fernández-Madrigal A. Cruz-Martín Javier González Jiménez OffRL 34 32 0 21 Feb 2017
Real-time visual tracking by deep reinforced decision making Janghoon Choi Junseok Kwon Kyoung Mu Lee 75 41 0 21 Feb 2017
Beating the World's Best at Super Smash Bros. with Deep Reinforcement Learning Vlad Firoiu William F. Whitney J. Tenenbaum 94 36 0 21 Feb 2017
Learning to Multi-Task by Active Sampling Sahil Sharma Ashutosh Jha Parikshit Hegde Balaraman Ravindran 151 21 0 20 Feb 2017
Collaborative Deep Reinforcement Learning Kaixiang Lin Shu Wang Jiayu Zhou 77 21 0 19 Feb 2017
Cognitive Mapping and Planning for Visual Navigation Saurabh Gupta Varun Tolani James Davidson Sergey Levine Rahul Sukthankar Jitendra Malik 131 715 0 13 Feb 2017
Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning Stefan Elfwing E. Uchibe Kenji Doya 145 1,760 0 10 Feb 2017
Preparing for the Unknown: Learning a Universal Policy with Online System Identification Wenhao Yu Jie Tan Chenxi Liu Greg Turk OffRL 110 309 0 08 Feb 2017
Adversarial Attacks on Neural Network Policies Sandy Huang Nicolas Papernot Ian Goodfellow Yan Duan Pieter Abbeel MLAU AAML 123 841 0 08 Feb 2017
DeepNav: Learning to Navigate Large Cities Samarth Brahmbhatt James Hays SSL HAI 74 54 0 31 Jan 2017
PathNet: Evolution Channels Gradient Descent in Super Neural Networks Chrisantha Fernando Dylan Banarse Charles Blundell Yori Zwols David R Ha Andrei A. Rusu Alexander Pritzel Daan Wierstra 77 882 0 30 Jan 2017
Wasserstein GAN Martín Arjovsky Soumith Chintala Léon Bottou GAN 199 4,836 0 26 Jan 2017
Learning Light Transport the Reinforced Way Ken Dahm A. Keller 75 64 0 25 Jan 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 346 1,550 0 25 Jan 2017
Regularizing Neural Networks by Penalizing Confident Output Distributions Gabriel Pereyra George Tucker J. Chorowski Lukasz Kaiser Geoffrey E. Hinton NoLa 229 1,142 0 23 Jan 2017
A K-fold Method for Baseline Estimation in Policy Gradient Algorithms N. Kota Abhishek Mishra Sunil Srinivasa Xi Xi Chen Pieter Abbeel OffRL 42 0 0 03 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 90 292 0 28 Dec 2016
Loss is its own Reward: Self-Supervision for Reinforcement Learning Evan Shelhamer Parsa Mahmoudieh Max Argus Trevor Darrell SSL 105 186 0 21 Dec 2016
A Survey of Deep Network Solutions for Learning Control in Robotics: From Reinforcement to Imitation L. Tai Jingwei Zhang Ming-Yuan Liu Joschka Boedecker Wolfram Burgard OffRL 147 78 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 66 241 0 12 Dec 2016
Towards better decoding and language model integration in sequence to sequence models J. Chorowski Navdeep Jaitly 106 370 0 08 Dec 2016
Combining Deep Reinforcement Learning and Safety Based Control for Autonomous Driving Xincheng Xiong Jianqiang Wang Fang Zhang Keqiang Li 88 66 0 01 Dec 2016
Neural Combinatorial Optimization with Reinforcement Learning Irwan Bello Hieu H. Pham Quoc V. Le Mohammad Norouzi Samy Bengio 175 1,499 0 29 Nov 2016
Improving Policy Gradient by Exploring Under-appreciated Rewards Ofir Nachum Mohammad Norouzi Dale Schuurmans 106 44 0 28 Nov 2016
Nonparametric General Reinforcement Learning Jan Leike OffRL 105 26 0 28 Nov 2016
Training an Interactive Humanoid Robot Using Multimodal Deep Reinforcement Learning Heriberto Cuayáhuitl G. Couly Clément Olalainty 52 3 0 26 Nov 2016
Dense Captioning with Joint Inference and Visual Context L. Yang K. Tang Jianchao Yang Li Li VLM 103 170 0 21 Nov 2016
Local minima in training of neural networks G. Swirszcz Wojciech M. Czarnecki Razvan Pascanu ODL 83 73 0 19 Nov 2016
Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU Mohammad Babaeizadeh I. Frosio Stephen Tyree Jason Clemons Jan Kautz OffRL 82 259 0 18 Nov 2016
Learning to reinforcement learn Jane X. Wang Z. Kurth-Nelson Dhruva Tirumala Hubert Soyer Joel Z Leibo Rémi Munos Charles Blundell D. Kumaran M. Botvinick OffRL 108 985 0 17 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 121 1,229 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 143 777 0 15 Nov 2016
How to scale distributed deep learning? Peter H. Jin Qiaochu Yuan F. Iandola Kurt Keutzer 3DH 85 137 0 14 Nov 2016
Learning to Navigate in Complex Environments Piotr Wojciech Mirowski Razvan Pascanu Fabio Viola Hubert Soyer Andy Ballard ... Ross Goroshin Laurent Sifre Koray Kavukcuoglu D. Kumaran R. Hadsell 118 880 0 11 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 114 1,029 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 106 345 0 07 Nov 2016
Playing SNES in the Retro Learning Environment Nadav Bhonker Shai Rozenberg Itay Hubara 63 19 0 07 Nov 2016
Averaged-DQN: Variance Reduction and Stabilization for Deep Reinforcement Learning Oron Anschel Nir Baram N. Shimkin 104 318 0 07 Nov 2016