v1v2 (latest)

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
ViZDoom Competitions: Playing Doom from Pixels Marek Wydmuch Michal Kempka Wojciech Ja'skowski 58 119 0 10 Sep 2018
Expert-augmented actor-critic for ViZDoom and Montezumas Revenge Michal Garmulewicz Henryk Michalewski Piotr Milos 78 8 0 10 Sep 2018
Adaptive Behavior Generation for Autonomous Driving using Deep Reinforcement Learning with Compact Semantic States Peter Wolf Karl Kurzer Tobias Wingert Florian Kuhnt Johann Marius Zöllner 60 56 0 10 Sep 2018
Learning Adaptive Display Exposure for Real-Time Advertising Weixun Wang Junqi Jin Jianye Hao Chunjie Chen Chuan Yu ... Xiaotian Hao Yixi Wang Han Li Jian Xu Kun Gai 43 6 0 10 Sep 2018
Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games using Baselines Martin Schmid Neil Burch Marc Lanctot Matej Moravcík Rudolf Kadlec Michael Bowling 158 64 0 09 Sep 2018
Learning Invariances for Policy Generalization Rémi Tachet des Combes Philip Bachman H. V. Seijen 83 12 0 07 Sep 2018
Improving On-policy Learning with Statistical Reward Accumulation Yubin Deng K. Yu Dahua Lin Xiaoou Tang Chen Change Loy OffRL 31 0 0 07 Sep 2018
Challenges of Context and Time in Reinforcement Learning: Introducing Space Fortress as a Benchmark Akshat Agarwal Ryan Hope Katia Sycara OffRL 34 9 0 06 Sep 2018
ANS: Adaptive Network Scaling for Deep Rectifier Reinforcement Learning Models Yueh-hua Wu Fan-Yun Sun Yen-Yu Chang Shou-De Lin 57 5 0 06 Sep 2018
Emergence of Human-comparable Balancing Behaviors by Deep Reinforcement Learning Chuanyu Yang Taku Komura Zhibin Li 55 20 0 06 Sep 2018
How to Combine Tree-Search Methods in Reinforcement Learning Yonathan Efroni Gal Dalal B. Scherrer Shie Mannor 61 32 0 06 Sep 2018
Transferring Deep Reinforcement Learning with Adversarial Objective and Augmentation Shu-Hsuan Hsu I-Chao Shen Bing-Yu Chen 21 2 0 04 Sep 2018
A Minimum Discounted Reward Hamilton-Jacobi Formulation for Computing Reachable Sets Anayo K. Akametalu Shromona Ghosh J. F. Fisac Claire Tomlin 35 13 0 03 Sep 2018
Emergence of Communication in an Interactive World with Consistent Speakers Ben Bogin Mor Geva Jonathan Berant 79 43 0 03 Sep 2018
Flatland: a Lightweight First-Person 2-D Environment for Reinforcement Learning Hugo Caselles-Dupré Louis Annabi Oksana Hagen Michael Garcia Ortiz David Filliat 82 13 0 03 Sep 2018
Visual Transfer between Atari Games using Competitive Reinforcement Learning Akshita Mittel Sowmya P. Munukutla Himanshi Yadav 44 11 0 02 Sep 2018
NavigationNet: A Large-scale Interactive Indoor Navigation Dataset He Huang Yujing Shen Jiankai Sun Cewu Lu 3DV 53 2 0 25 Aug 2018
LIFT: Reinforcement Learning in Computer Systems by Learning From Demonstrations Michael Schaarschmidt A. Kuhnle Ben Ellis Kai Fricke Felix Gessert Eiko Yoneki OffRL 55 41 0 23 Aug 2018
Reinforcement Learning for Autonomous Defence in Software-Defined Networking Yi Han Benjamin I. P. Rubinstein Tamas Abraham T. Alpcan O. Vel S. Erfani David Hubczenko C. Leckie Paul Montague AAML 55 69 0 17 Aug 2018
Experiential Robot Learning with Accelerated Neuroevolution Ahmed Aly J. Dugan 34 1 0 16 Aug 2018
Automatic Derivation Of Formulas Using Reforcement Learning Minzhong Luo Li Liu 21 5 0 15 Aug 2018
Visual Sensor Network Reconfiguration with Deep Reinforcement Learning Paul Jasek Bernard Abayowa 22 2 0 13 Aug 2018
Learning to Represent Bilingual Dictionaries Muhao Chen Yingtao Tian Haochen Chen Kai-Wei Chang Steven Skiena C. Zaniolo 44 13 0 10 Aug 2018
End-to-end Active Object Tracking and Its Real-world Deployment via Reinforcement Learning Wenhan Luo Peng Sun Fangwei Zhong Wen Liu Tong Zhang Yizhou Wang 75 127 0 10 Aug 2018
Policy Optimization as Wasserstein Gradient Flows Ruiyi Zhang Changyou Chen Chunyuan Li Lawrence Carin 88 68 0 09 Aug 2018
Learning to Share and Hide Intentions using Information Regularization D. Strouse Max Kleiman-Weiner J. Tenenbaum M. Botvinick D. Schwab 76 60 0 06 Aug 2018
An Efficient Deep Reinforcement Learning Model for Urban Traffic Control Yilun Lin Xingyuan Dai Li Li Feiyue Wang 39 59 0 06 Aug 2018
Neural Arithmetic Logic Units Andrew Trask Felix Hill Scott E. Reed Jack W. Rae Chris Dyer Phil Blunsom NAI 96 206 0 01 Aug 2018
Egocentric Spatial Memory Mengmi Zhang K. Ma S. Yen J. Lim Qi Zhao Jiashi Feng EgoV 57 4 0 31 Jul 2018
Learning to Interrupt: A Hierarchical Deep Reinforcement Learning Framework for Efficient Exploration Tingguang Li Jin Pan Delong Zhu Max Meng 41 14 0 30 Jul 2018
Visual Analogies between Atari Games for Studying Transfer Learning in RL D. Sobol Lior Wolf Yaniv Taigman OffRL 44 7 0 29 Jul 2018
Variational Option Discovery Algorithms Joshua Achiam Harrison Edwards Dario Amodei Pieter Abbeel DRL 78 180 0 26 Jul 2018
ToriLLE: Learning Environment for Hand-to-Hand Combat Anssi Kanervisto Ville Hautamaki 62 2 0 26 Jul 2018
Attend Before you Act: Leveraging human visual attention for continual learning Khimya Khetarpal Doina Precup 39 7 0 25 Jul 2018
Variational Bayesian Reinforcement Learning with Regret Bounds Brendan O'Donoghue 115 41 0 25 Jul 2018
Backprop-Q: Generalized Backpropagation for Stochastic Computation Graphs Xiaoran Xu Songpeng Zu Yuan Zhang Hanning Zhou Wei Feng BDL 59 4 0 25 Jul 2018
Multi-Agent Reinforcement Learning: A Report on Challenges and Approaches Sanyam Kapoor 45 31 0 25 Jul 2018
Learning to Play Pong using Policy Gradient Learning S. Phon-Amnuaisuk OffRL 14 0 0 23 Jul 2018
Implementation of Q Learning and Deep Q Network For Controlling a Self Balancing Robot Model Md. Muhaimin Rahman SM Hasanur Rashid M. M. Hossain SSL 6 33 0 22 Jul 2018
Asynchronous Advantage Actor-Critic Agent for Starcraft II Basel Alghanem G. KeerthanaP. OffRL 31 5 0 22 Jul 2018
Recent Advances in Deep Learning: An Overview Matiur Rahman Minar Jibon Naher VLM 106 117 0 21 Jul 2018
Safe Option-Critic: Learning Safety in the Option-Critic Architecture Arushi Jain Khimya Khetarpal Doina Precup 70 27 0 21 Jul 2018
FuzzerGym: A Competitive Framework for Fuzzing and Learning W. Drozd Michael D. Wagner 66 33 0 19 Jul 2018
Gradient Band-based Adversarial Training for Generalized Attack Immunity of A3C Path Finding Tong Chen Wenjia Niu Yingxiao Xiang XiaoXuan Bai Jiqiang Liu Zhen Han Gang Li AAML 62 24 0 18 Jul 2018
Learning to Listen, Read, and Follow: Score Following as a Reinforcement Learning Game Matthias Dorfer Florian Henkel Gerhard Widmer 66 34 0 17 Jul 2018
Online Robust Policy Learning in the Presence of Unknown Adversaries Aaron J. Havens Zhanhong Jiang Soumik Sarkar AAML 120 44 0 16 Jul 2018
Remember and Forget for Experience Replay G. Novati Petros Koumoutsakos OffRL 108 92 0 16 Jul 2018
Visual Reinforcement Learning with Imagined Goals Ashvin Nair Vitchyr H. Pong Murtaza Dalal Shikhar Bahl Steven Lin Sergey Levine SSL 112 544 0 12 Jul 2018
Training Neural Networks Using Features Replay Zhouyuan Huo Bin Gu Heng-Chiao Huang 94 70 0 12 Jul 2018
Learning Deployable Navigation Policies at Kilometer Scale from a Single Traversal Jake Bruce Niko Sünderhauf Piotr Wojciech Mirowski R. Hadsell Michael Milford 95 35 0 11 Jul 2018