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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
Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models Arunkumar Byravan Jost Tobias Springenberg A. Abdolmaleki Roland Hafner Michael Neunert Thomas Lampe Noah Y. Siegel N. Heess Martin Riedmiller OffRL 88 41 0 09 Oct 2019
Model-based Reinforcement Learning for Predictions and Control for Limit Order Books Haoran Wei Yuanbo Wang L. Mangu Keith S. Decker 67 25 0 09 Oct 2019
Ctrl-Z: Recovering from Instability in Reinforcement Learning Vibhavari Dasagi Jake Bruce T. Peynot Jurgen Leitner 58 10 0 09 Oct 2019
Investigation on the generalization of the Sampled Policy Gradient algorithm Nil Stolt Ansó OffRL 33 0 0 09 Oct 2019
TorchBeast: A PyTorch Platform for Distributed RL Heinrich Küttler Nantas Nardelli Thibaut Lavril Marco Selvatici V. Sivakumar Tim Rocktaschel Edward Grefenstette OffRL 94 58 0 08 Oct 2019
AI Assisted Annotator using Reinforcement Learning V. R. Saripalli Gopal Avinash Dibyajyoti Pati Brett A. McGuire Charles W. Anderson OffRL 15 0 0 02 Oct 2019
QuaRL: Quantization for Fast and Environmentally Sustainable Reinforcement Learning Srivatsan Krishnan Maximilian Lam Sharad Chitlangia Zishen Wan Gabriel Barth-Maron Aleksandra Faust Vijay Janapa Reddi MQ 46 26 0 02 Oct 2019
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images Denis Yarats Amy Zhang Ilya Kostrikov Brandon Amos Joelle Pineau Rob Fergus DRL 141 450 0 02 Oct 2019
Efficient Bimanual Manipulation Using Learned Task Schemas Rohan Chitnis Shubham Tulsiani Saurabh Gupta Abhinav Gupta 90 75 0 30 Sep 2019
Tensor-based Cooperative Control for Large Scale Multi-intersection Traffic Signal Using Deep Reinforcement Learning and Imitation Learning Yusen Huo Qinghua Tao Jianming Hu 49 1 0 30 Sep 2019
How to Evaluate Machine Learning Approaches for Combinatorial Optimization: Application to the Travelling Salesman Problem Antoine François Quentin Cappart Louis-Martin Rousseau 65 13 0 28 Sep 2019
Learning Fast Adaptation with Meta Strategy Optimization Wenhao Yu Jie Tan Yunfei Bai Erwin Coumans Sehoon Ha 101 95 0 28 Sep 2019
SURREAL-System: Fully-Integrated Stack for Distributed Deep Reinforcement Learning Linxi Fan Yuke Zhu Jiren Zhu Zihua Liu Orien Zeng Anchit Gupta Joan Creus-Costa Silvio Savarese Li Fei-Fei OffRL GNN 91 3 0 27 Sep 2019
A Re-classification of Information Seeking Tasks and Their Computational Solutions Zhiwen Tang Grace Hui Yang 38 7 0 26 Sep 2019
CAQL: Continuous Action Q-Learning Moonkyung Ryu Yinlam Chow Ross Anderson Christian Tjandraatmadja Craig Boutilier 289 43 0 26 Sep 2019
V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control H. F. Song A. Abdolmaleki Jost Tobias Springenberg Aidan Clark Hubert Soyer ... Dhruva Tirumala N. Heess Dan Belov Martin Riedmiller M. Botvinick 116 126 0 26 Sep 2019
MERL: Multi-Head Reinforcement Learning Yannis Flet-Berliac Philippe Preux OffRL 126 13 0 26 Sep 2019
Off-Policy Actor-Critic with Shared Experience Replay Simon Schmitt Matteo Hessel Karen Simonyan OffRL 80 68 0 25 Sep 2019
Synthetic Data for Deep Learning Sergey I. Nikolenko 153 358 0 25 Sep 2019
Explaining and Interpreting LSTMs L. Arras Jose A. Arjona-Medina Michael Widrich G. Montavon Michael Gillhofer K. Müller Sepp Hochreiter Wojciech Samek FAtt AI4TS 76 79 0 25 Sep 2019
Controlling an Autonomous Vehicle with Deep Reinforcement Learning A. Folkers Matthias Rick C. Büskens 73 67 0 24 Sep 2019
Sensor-Augmented Neural Adaptive Bitrate Video Streaming on UAVs Xuedou Xiao Wei Wang Taobin Chen Yang Cao Tao Jiang Qian Zhang AI4TS 37 48 0 23 Sep 2019
Multi-task Learning and Catastrophic Forgetting in Continual Reinforcement Learning Joao G. Ribeiro Francisco S. Melo João Dias CLL 56 12 0 22 Sep 2019
Deep Reinforcement Learning with Modulated Hebbian plus Q Network Architecture Pawel Ladosz Eseoghene Ben-Iwhiwhu Jeffery Dick Yang Hu Nicholas A. Ketz Soheil Kolouri J. Krichmar Praveen K. Pilly Andrea Soltoggio 138 19 0 21 Sep 2019
Bayesian Optimization for Iterative Learning Vu-Linh Nguyen Sebastian Schulze Michael A. Osborne BDL 114 33 0 20 Sep 2019
Redirection Controller Using Reinforcement Learning Yuchen Chang Keigo Matsumoto Takuji Narumi T. Tanikawa M. Hirose 54 29 0 20 Sep 2019
Summary Level Training of Sentence Rewriting for Abstractive Summarization Sanghwan Bae Taeuk Kim Jihoon Kim Sang-goo Lee 73 69 0 19 Sep 2019
Segregation Dynamics with Reinforcement Learning and Agent Based Modeling Egemen Sert Y. Bar-Yam A. Morales 87 40 0 18 Sep 2019
Visual Tracking by means of Deep Reinforcement Learning and an Expert Demonstrator Matteo Dunnhofer N. Martinel G. Foresti C. Micheloni OffRL 67 31 0 18 Sep 2019
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review Han Xu Yao Ma Haochen Liu Debayan Deb Hui Liu Jiliang Tang Anil K. Jain AAML 90 680 0 17 Sep 2019
MDP Playground: An Analysis and Debug Testbed for Reinforcement Learning Raghunandan Rajan Jessica Lizeth Borja Diaz Suresh Guttikonda Fabio Ferreira André Biedenkapp Jan Ole von Hartz Frank Hutter 145 4 0 17 Sep 2019
A Review of Tracking, Prediction and Decision Making Methods for Autonomous Driving Florin Leon M. Gavrilescu 80 101 0 17 Sep 2019
Data Centers Job Scheduling with Deep Reinforcement Learning Sisheng Liang Zhou Yang Fang Jin Yong Chen 22 26 0 16 Sep 2019
Biased Estimates of Advantages over Path Ensembles Lanxin Lei Zhizhong Li Dahua Lin OffRL 31 0 0 15 Sep 2019
Policy Prediction Network: Model-Free Behavior Policy with Model-Based Learning in Continuous Action Space Zac Wellmer James T. Kwok 31 0 0 15 Sep 2019
ISL: A novel approach for deep exploration Lucas Cassano Ali H. Sayed 49 1 0 13 Sep 2019
DL2: A Deep Learning-driven Scheduler for Deep Learning Clusters Size Zheng Yixin Bao Yangrui Chen Chuan Wu Chen Meng Wei Lin 56 85 0 13 Sep 2019
Reinforcement Learning for Portfolio Management Angelos Filos 61 36 0 12 Sep 2019
A Deep Learning Approach to Grasping the Invisible Yang Yang Hengyue Liang Changhyun Choi 93 97 0 11 Sep 2019
Reinforcement Learning and Video Games Yue Zheng 23 4 0 10 Sep 2019
Discovery of Useful Questions as Auxiliary Tasks Vivek Veeriah Matteo Hessel Zhongwen Xu Richard L. Lewis Janarthanan Rajendran Junhyuk Oh H. V. Hasselt David Silver Satinder Singh LLMAG 84 85 0 10 Sep 2019
Learning Transferable Domain Priors for Safe Exploration in Reinforcement Learning Thommen George Karimpanal Santu Rana Sunil R. Gupta T. Tran Svetha Venkatesh OffRL OnRL 64 10 0 10 Sep 2019
Bayesian Relational Memory for Semantic Visual Navigation Yi Wu Yuxin Wu Aviv Tamar Stuart J. Russell Georgia Gkioxari Yuandong Tian BDL 131 105 0 10 Sep 2019
Option Encoder: A Framework for Discovering a Policy Basis in Reinforcement Learning Arjun Manoharan Rahul Ramesh Balaraman Ravindran 49 3 0 09 Sep 2019
AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers Andrey Kurenkov Ajay Mandlekar R. M. Martin Silvio Savarese Animesh Garg 64 48 0 09 Sep 2019
Learning Visual Dynamics Models of Rigid Objects using Relational Inductive Biases Fabio Ferreira Lin Shao Tamim Asfour Jeannette Bohg AI4CE 38 3 0 09 Sep 2019
Learning How to Dynamically Route Autonomous Vehicles on Shared Roads Daniel A. Lazar Erdem Biyik Dorsa Sadigh Ramtin Pedarsani 99 47 0 09 Sep 2019
DRLViz: Understanding Decisions and Memory in Deep Reinforcement Learning Theo Jaunet Romain Vuillemot Christian Wolf HAI 131 36 0 06 Sep 2019
Blackbox Attacks on Reinforcement Learning Agents Using Approximated Temporal Information Yiren Zhao Ilia Shumailov Han Cui Xitong Gao Robert D. Mullins Ross J. Anderson AAML 85 29 0 06 Sep 2019
From Few to More: Large-scale Dynamic Multiagent Curriculum Learning Weixun Wang Tianpei Yang Y. Liu Jianye Hao Xiaotian Hao Yujing Hu Yingfeng Chen Changjie Fan Yang Gao AI4CE 77 113 0 06 Sep 2019