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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"

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Title
Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis Tal Ben-Nun Torsten Hoefler GNN 87 713 0 26 Feb 2018
Back to Basics: Benchmarking Canonical Evolution Strategies for Playing Atari P. Chrabaszcz I. Loshchilov Frank Hutter 83 100 0 24 Feb 2018
The AdobeIndoorNav Dataset: Towards Deep Reinforcement Learning based Real-world Indoor Robot Visual Navigation Kaichun Mo Haoxiang Li Zhe Lin Joon-Young Lee 71 29 0 24 Feb 2018
Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration Emmy Liu Kelvin Guu Panupong Pasupat Tianlin Shi Percy Liang OnRL 79 223 0 24 Feb 2018
Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents Kai Zhang Zhuoran Yang Han Liu Tong Zhang Tamer Basar 174 593 0 23 Feb 2018
Weighted Double Deep Multiagent Reinforcement Learning in Stochastic Cooperative Environments Yan Zheng Jianye Hao Zongzhang Zhang OffRL 63 38 0 23 Feb 2018
Structured Control Nets for Deep Reinforcement Learning Mario Srouji Jian Zhang Ruslan Salakhutdinov 81 43 0 22 Feb 2018
Unicorn: Continual Learning with a Universal, Off-policy Agent D. Mankowitz Augustin Žídek André Barreto Dan Horgan Matteo Hessel John Quan Junhyuk Oh H. V. Hasselt David Silver Tom Schaul CLL OffRL 70 48 0 22 Feb 2018
Asynchronous stochastic approximations with asymptotically biased errors and deep multi-agent learning Arunselvan Ramaswamy S. Bhatnagar Daniel E. Quevedo 17 2 0 22 Feb 2018
Clipped Action Policy Gradient Yasuhiro Fujita S. Maeda OffRL 53 37 0 21 Feb 2018
Learning to Play with Intrinsically-Motivated Self-Aware Agents Nick Haber Damian Mrowca Li Fei-Fei Daniel L. K. Yamins LRM 96 120 0 21 Feb 2018
Global Pose Estimation with an Attention-based Recurrent Network Emilio Parisotto Devendra Singh Chaplot Jian Zhang Ruslan Salakhutdinov 58 70 0 19 Feb 2018
Accelerated Primal-Dual Policy Optimization for Safe Reinforcement Learning Qingkai Liang Fanyu Que E. Modiano 85 102 0 19 Feb 2018
Efficient Collaborative Multi-Agent Deep Reinforcement Learning for Large-Scale Fleet Management Kaixiang Lin Renyu Zhao Zhe Xu Jiayu Zhou 52 8 0 18 Feb 2018
Sim-to-Real Optimization of Complex Real World Mobile Network with Imperfect Information via Deep Reinforcement Learning from Self-play Yongxi Tan Jin Yang Xin Chen Qitao Song Yunjun Chen Zhangxiang Ye Zhenqiang Su 39 2 0 18 Feb 2018
Diversity-Driven Exploration Strategy for Deep Reinforcement Learning Zhang-Wei Hong Tzu-Yun Shann Shih-Yang Su Yi-Hsiang Chang Chun-Yi Lee 103 124 0 13 Feb 2018
Efficient Exploration through Bayesian Deep Q-Networks Kamyar Azizzadenesheli Anima Anandkumar OffRL BDL 112 163 0 13 Feb 2018
Efficient Model-Based Deep Reinforcement Learning with Variational State Tabulation Dane S. Corneil W. Gerstner Johanni Brea OffRL 86 62 0 12 Feb 2018
Reinforcement Learning for Solving the Vehicle Routing Problem M. Nazari Afshin Oroojlooy L. Snyder Martin Takáč 133 911 0 12 Feb 2018
Taking gradients through experiments: LSTMs and memory proximal policy optimization for black-box quantum control Moritz August José Miguel Hernández-Lobato 73 41 0 12 Feb 2018
Beyond the One Step Greedy Approach in Reinforcement Learning Yonathan Efroni Gal Dalal B. Scherrer Shie Mannor OffRL 117 51 0 10 Feb 2018
Path Consistency Learning in Tsallis Entropy Regularized MDPs Ofir Nachum Yinlam Chow Mohammad Ghavamzadeh 72 47 0 10 Feb 2018
Precision medicine as a control problem: Using simulation and deep reinforcement learning to discover adaptive, personalized multi-cytokine therapy for sepsis Brenden K. Petersen Jiachen Yang Will Grathwohl Chase Cockrell Claudio Santiago G. An Daniel Faissol AI4CE 53 26 0 08 Feb 2018
Learning and Querying Fast Generative Models for Reinforcement Learning Lars Buesing T. Weber S. Racanière S. M. Ali Eslami Danilo Jimenez Rezende ... Fabio Viola F. Besse Karol Gregor Demis Hassabis Daan Wierstra OffRL 82 135 0 08 Feb 2018
A Critical Investigation of Deep Reinforcement Learning for Navigation Vikas Dhiman Shurjo Banerjee Brent A. Griffin J. Siskind Jason J. Corso 84 36 0 07 Feb 2018
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures L. Espeholt Hubert Soyer Rémi Munos Karen Simonyan Volodymyr Mnih ... Vlad Firoiu Tim Harley Iain Dunning Shane Legg Koray Kavukcuoglu 276 1,609 0 05 Feb 2018
Multi-task Learning for Continuous Control Himani Arora Rajath Kumar Jason Krone Chong Li 76 13 0 03 Feb 2018
Learning Parametric Closed-Loop Policies for Markov Potential Games Sergio Valcarcel Macua Javier Zazo S. Zazo 82 46 0 03 Feb 2018
Virtual-to-Real: Learning to Control in Visual Semantic Segmentation Zhang-Wei Hong Yu-Ming Chen Shih-Yang Su Tzu-Yun Shann Yi-Hsiang Chang ... Yueh-Chuan Chang Tsu-Ching Hsiao Hsin-Wei Hsiao Sih-Pin Lai Chun-Yi Lee 121 81 0 01 Feb 2018
VR-Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control Jingwei Zhang L. Tai Peng Yun Yufeng Xiong Ming-Yuan Liu Joschka Boedecker Wolfram Burgard 104 123 0 01 Feb 2018
Deep Reinforcement Learning for Programming Language Correction Rahul Gupta Aditya Kanade S. Shevade HAI 96 34 0 31 Jan 2018
Pretraining Deep Actor-Critic Reinforcement Learning Algorithms With Expert Demonstrations Xiaoqin Zhang Huimin Ma OffRL 117 38 0 31 Jan 2018
Deep Reinforcement Learning using Capsules in Advanced Game Environments Per-Arne Andersen 68 16 0 29 Jan 2018
Image2GIF: Generating Cinemagraphs using Recurrent Deep Q-Networks Yipin Zhou Yale Song Tamara L. Berg GAN 56 8 0 27 Jan 2018
FlashRL: A Reinforcement Learning Platform for Flash Games Per-Arne Andersen M. G. Olsen Ole-Christoffer Granmo VLM 43 2 0 26 Jan 2018
Active Neural Localization Devendra Singh Chaplot Emilio Parisotto Ruslan Salakhutdinov 83 86 0 24 Jan 2018
Psychlab: A Psychology Laboratory for Deep Reinforcement Learning Agents Joel Z Leibo Cyprien de Masson dÁutume Daniel Zoran David Amos Charlie Beattie ... Simon Green A. Gruslys Shane Legg Demis Hassabis M. Botvinick 105 78 0 24 Jan 2018
Logically-Constrained Reinforcement Learning Mohammadhosein Hasanbeig Alessandro Abate Daniel Kroening 97 83 0 24 Jan 2018
Learning Symmetric and Low-energy Locomotion Wenhao Yu Greg Turk Chenxi Liu 126 186 0 24 Jan 2018
Experience-driven Networking: A Deep Reinforcement Learning based Approach Zhiyuan Xu Jian Tang Jingsong Meng Weiyi Zhang Yanzhi Wang C. Liu Dejun Yang OffRL 92 364 0 17 Jan 2018
An Empirical Analysis of Proximal Policy Optimization with Kronecker-factored Natural Gradients Jiaming Song Yuhuai Wu 39 2 0 17 Jan 2018
Deep Reinforcement Learning of Cell Movement in the Early Stage of C. elegans Embryogenesis Zehao Wang Dali Wang Chengcheng Li Yichi Xu Husheng Li Z. Bao 57 35 0 14 Jan 2018
Autonomous Driving in Reality with Reinforcement Learning and Image Translation N. Xu Bowen Tan Bingyu Kong 76 36 0 13 Jan 2018
Model-Based Action Exploration for Learning Dynamic Motion Skills Glen Berseth M. van de Panne 57 0 0 11 Jan 2018
Neural Program Synthesis with Priority Queue Training Daniel A. Abolafia Mohammad Norouzi Jonathan Shen Rui Zhao Quoc V. Le 107 69 0 10 Jan 2018
Expected Policy Gradients for Reinforcement Learning K. Ciosek Shimon Whiteson 125 53 0 10 Jan 2018
Distributed Deep Reinforcement Learning: Learn how to play Atari games in 21 minutes Igor Adamski R. Adamski T. Grel Adam Jedrych Kamil Kaczmarek Henryk Michalewski OffRL 121 37 0 09 Jan 2018
DeepTraffic: Crowdsourced Hyperparameter Tuning of Deep Reinforcement Learning Systems for Multi-Agent Dense Traffic Navigation Lex Fridman Jack Terwilliger Benedikt Jenik 87 24 0 09 Jan 2018
Building Generalizable Agents with a Realistic and Rich 3D Environment Yi Wu Yuxin Wu Georgia Gkioxari Yuandong Tian 3DV 144 339 0 07 Jan 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 361 8,474 0 04 Jan 2018