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
Reinforcement Learning-based Visual Navigation with Information-Theoretic Regularization Qiaoyun Wu Kai Xu Jun Wang Mingliang Xu Xiaoxi Gong Tianyi Zhou 87 30 0 09 Dec 2019
Exploratory Not Explanatory: Counterfactual Analysis of Saliency Maps for Deep Reinforcement Learning Akanksha Atrey Kaleigh Clary David D. Jensen FAtt LRM 82 91 0 09 Dec 2019
Intelligent Coordination among Multiple Traffic Intersections Using Multi-Agent Reinforcement Learning Ujwal Padam Tewari Vishal Bidawatka Varsha Raveendran Vinay Sudhakaran Shreedhar Kodate Shreeshail Jayanth Prakash Kulkarni 34 5 0 09 Dec 2019
Feasibility-Guided Learning for Robust Control in Constrained Optimal Control Problems Wei Xiao C. Belta Christos G. Cassandras 49 4 0 06 Dec 2019
Training Agents using Upside-Down Reinforcement Learning R. Srivastava Pranav Shyam Filipe Wall Mutz Wojciech Ja'skowski Jürgen Schmidhuber OffRL 95 126 0 05 Dec 2019
Reinforcement Learning with Convolutional Reservoir Computing Hanten Chang K. Futagami 53 22 0 05 Dec 2019
Learning to run a power network challenge for training topology controllers Antoine Marot Benjamin Donnot Camilo Romero Luca Veyrin-Forrer Marvin Lerousseau Balthazar Donon Isabelle M Guyon 94 76 0 05 Dec 2019
Dynamic Pricing on E-commerce Platform with Deep Reinforcement Learning: A Field Experiment Jiaxi Liu Yidong Zhang Xiaoqing Wang Yuming Deng Xingyu Wu 120 32 0 05 Dec 2019
Hindsight Credit Assignment Anna Harutyunyan Will Dabney Thomas Mesnard M. G. Azar Bilal Piot ... H. V. Hasselt Greg Wayne Satinder Singh Doina Precup Rémi Munos 95 75 0 05 Dec 2019
Deep Model Compression Via Two-Stage Deep Reinforcement Learning Huixin Zhan Wei-Ming Lin Yongcan Cao 57 12 0 04 Dec 2019
Visual Reaction: Learning to Play Catch with Your Drone Kuo-Hao Zeng Roozbeh Mottaghi Luca Weihs Ali Farhadi 69 14 0 04 Dec 2019
Dream to Control: Learning Behaviors by Latent Imagination Danijar Hafner Timothy Lillicrap Jimmy Ba Mohammad Norouzi VLM 235 1,378 0 03 Dec 2019
Adversary A3C for Robust Reinforcement Learning Zhaoyuan Gu Zhenzhong Jia Howie Choset AAML 66 24 0 01 Dec 2019
Transferable Force-Torque Dynamics Model for Peg-in-hole Task Junfeng Ding Chen Wang Cewu Lu 51 18 0 30 Nov 2019
IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks Michael Luo Jiahao Yao Richard Liaw Eric Liang Ion Stoica 80 15 0 30 Nov 2019
Stigmergic Independent Reinforcement Learning for Multi-Agent Collaboration Xing Xu Rongpeng Li Zhifeng Zhao Honggang Zhang 70 26 0 28 Nov 2019
LeRoP: A Learning-Based Modular Robot Photography Framework Hao Kang Jianming Zhang Haoxiang Li Zhe Lin TJ Rhodes Bedrich Benes 42 4 0 28 Nov 2019
Improving Fictitious Play Reinforcement Learning with Expanding Models Rongjun Qin Jing-Cheng Pang Yang Yu 43 1 0 27 Nov 2019
A General Framework on Enhancing Portfolio Management with Reinforcement Learning Yinheng Li Junhao Wang Yijie Cao 28 3 0 26 Nov 2019
Multi-Vehicle Mixed-Reality Reinforcement Learning for Autonomous Multi-Lane Driving Rupert Mitchell Jenny Fletcher Jacopo Panerati Amanda Prorok 89 17 0 26 Nov 2019
Adaptive dynamic programming for nonaffine nonlinear optimal control problem with state constraints Jingliang Duan Zhengyu Liu Shengbo Eben Li Qi Sun Zhenzhong Jia B. Cheng 72 65 0 26 Nov 2019
Behavior Regularized Offline Reinforcement Learning Yifan Wu George Tucker Ofir Nachum OffRL 155 692 0 26 Nov 2019
Deep Reinforcement Learning for Multi-Driver Vehicle Dispatching and Repositioning Problem J. Holler Risto Vuorio Zhiwei Qin Xiaocheng Tang Yan Jiao Tiancheng Jin Satinder Singh Chenxi Wang Jieping Ye 49 95 0 25 Nov 2019
Theory-based Causal Transfer: Integrating Instance-level Induction and Abstract-level Structure Learning Mark Edmonds Xiaojian Ma Siyuan Qi Yixin Zhu Hongjing Lu Song-Chun Zhu 91 27 0 25 Nov 2019
End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances Marin Toromanoff É. Wirbel Fabien Moutarde OffRL 181 209 0 25 Nov 2019
Multi-Agent Game Abstraction via Graph Attention Neural Network Y. Liu Weixun Wang Yujing Hu Jianye Hao Xingguo Chen Yang Gao 80 244 0 25 Nov 2019
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms Jianchao Tan Zhuoran Yang Tamer Basar 233 1,233 0 24 Nov 2019
Merging Deterministic Policy Gradient Estimations with Varied Bias-Variance Tradeoff for Effective Deep Reinforcement Learning Gang Chen 75 4 0 24 Nov 2019
Which Channel to Ask My Question? Personalized Customer Service Request Stream Routing using Deep Reinforcement Learning Zining Liu Chong Long Xiaolu Lu Zehong Hu Jie Zhang Yafang Wang 43 9 0 24 Nov 2019
Iteratively-Refined Interactive 3D Medical Image Segmentation with Multi-Agent Reinforcement Learning X. Liao Wenhao Li Qisen Xu Xiangfeng Wang Bo Jin Xiaoyun Zhang Ya Zhang Yanfeng Wang 102 82 0 23 Nov 2019
Deep Reinforcement Learning for Trading Zihao Zhang S. Zohren Stephen J. Roberts AIFin 110 209 0 22 Nov 2019
Evaluating task-agnostic exploration for fixed-batch learning of arbitrary future tasks Vibhavari Dasagi Robert Lee Jake Bruce Jurgen Leitner OffRL 56 2 0 20 Nov 2019
Policy-Gradient Training of Fair and Unbiased Ranking Functions Himank Yadav Zhengxiao Du Thorsten Joachims 89 42 0 19 Nov 2019
Vision-Language Navigation with Self-Supervised Auxiliary Reasoning Tasks Fengda Zhu Yi Zhu Xiaojun Chang Xiaodan Liang LRM 126 244 0 18 Nov 2019
Hacking Neural Networks: A Short Introduction Michael D Kissner AAML 21 2 0 18 Nov 2019
Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation Juncheng Li Xinze Wang Siliang Tang Haizhou Shi Leilei Gan Yueting Zhuang William Yang Wang SSL 106 70 0 18 Nov 2019
Working Memory Graphs Ricky Loynd Roland Fernandez Asli Celikyilmaz Adith Swaminathan Matthew J. Hausknecht 72 40 0 17 Nov 2019
Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning Dipendra Kumar Misra Mikael Henaff A. Krishnamurthy John Langford 95 151 0 13 Nov 2019
Asymptotics of Reinforcement Learning with Neural Networks Justin A. Sirignano K. Spiliopoulos MLT 98 14 0 13 Nov 2019
Adversarial Examples in Modern Machine Learning: A Review R. Wiyatno Anqi Xu Ousmane Amadou Dia A. D. Berker AAML 127 105 0 13 Nov 2019
Combinatorial Optimization by Graph Pointer Networks and Hierarchical Reinforcement Learning Qiang Ma Suwen Ge Danyang He D. Thaker Iddo Drori 72 191 0 12 Nov 2019
Learning Representations in Reinforcement Learning:An Information Bottleneck Approach Yingjun Pei Xinwen Hou SSL 76 10 0 12 Nov 2019
Provably Convergent Two-Timescale Off-Policy Actor-Critic with Function Approximation Shangtong Zhang Bo Liu Hengshuai Yao Shimon Whiteson OffRL 143 8 0 11 Nov 2019
Multi-Path Policy Optimization L. Pan Qingpeng Cai Longbo Huang 66 2 0 11 Nov 2019
Context-aware Active Multi-Step Reinforcement Learning Gang Chen Dingcheng Li Ran Xu 31 0 0 11 Nov 2019
MAME : Model-Agnostic Meta-Exploration Swaminathan Gurumurthy Sumit Kumar Katia Sycara 86 15 0 11 Nov 2019
Minimalistic Attacks: How Little it Takes to Fool a Deep Reinforcement Learning Policy Xinghua Qu Zhu Sun Yew-Soon Ong Abhishek Gupta Pengfei Wei AAML OffRL 112 35 0 10 Nov 2019
Learning to reinforcement learn for Neural Architecture Search J. Gomez Joaquin Vanschoren 87 8 0 09 Nov 2019
To Populate is To Regulate N. Fitzgerald 69 11 0 06 Nov 2019
DeepRacer: Educational Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning Bharathan Balaji S. Mallya Sahika Genc Saurabh Gupta Leo Dirac ... Yunzhe Tao Brian Townsend E. Calleja Sunil Muralidhara Dhanasekar Karuppasamy 80 57 0 05 Nov 2019