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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
A Survey on ML4VIS: Applying Machine Learning Advances to Data Visualization Qianwen Wang Zhutian Chen Yong Wang Huamin Qu 113 81 0 01 Dec 2020
Deep reinforcement learning with a particle dynamics environment applied to emergency evacuation of a room with obstacles Yihao Zhang Zhaojie Chai G. Lykotrafitis 30 32 0 30 Nov 2020
Deep Controlled Learning for Inventory Control Tarkan Temizoz Christina Imdahl R. Dijkman Douniel Lamghari-Idrissi W. Jaarsveld 136 9 0 30 Nov 2020
Unsupervised Path Regression Networks Michal Pándy Daniel Lenton R. Clark 41 0 0 30 Nov 2020
Optimizing the Neural Architecture of Reinforcement Learning Agents Nina Mazyavkina S. Moustafa I. Trofimov Evgeny Burnaev AI4CE 78 4 0 30 Nov 2020
Applied Machine Learning for Games: A Graduate School Course Yilei Zeng Aayush Shah Jameson Thai M. Zyda AI4CE 75 3 0 30 Nov 2020
Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp Junfan Lin Zhongzhan Huang Keze Wang Xiaodan Liang Weiwei Chen Liang Lin 38 11 0 30 Nov 2020
Privacy-Preserving Federated Learning for UAV-Enabled Networks: Learning-Based Joint Scheduling and Resource Management Helin Yang Jun Zhao Zehui Xiong Kwok-Yan Lam Sumei Sun Liang Xiao 78 188 0 28 Nov 2020
A survey of benchmarking frameworks for reinforcement learning B. Stapelberg K. Malan OffRL 49 3 0 27 Nov 2020
Adaptable Automation with Modular Deep Reinforcement Learning and Policy Transfer Zohreh Raziei Mohsen Moghaddam 77 25 0 27 Nov 2020
Motion Planning and Control for Mobile Robot Navigation Using Machine Learning: a Survey Xuesu Xiao Bo Liu Garrett A. Warnell Peter Stone 85 198 0 26 Nov 2020
An End-to-end Deep Reinforcement Learning Approach for the Long-term Short-term Planning on the Frenet Space Majid Moghadam Ali Alizadeh Engin Tekin G. Elkaim 97 12 0 26 Nov 2020
A Recurrent Vision-and-Language BERT for Navigation Yicong Hong Qi Wu Yuankai Qi Cristian Rodriguez-Opazo Stephen Gould LM&Ro 130 304 0 26 Nov 2020
TLeague: A Framework for Competitive Self-Play based Distributed Multi-Agent Reinforcement Learning Peng Sun Jiechao Xiong Lei Han Xinghai Sun Shuxing Li Jiawei Xu Meng Fang Zhengyou Zhang OffRL LRM 81 19 0 25 Nov 2020
RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem Eric Liang Zhanghao Wu Michael Luo Sven Mika Joseph E. Gonzalez Ion Stoica AI4CE 74 12 0 25 Nov 2020
Enhanced Scene Specificity with Sparse Dynamic Value Estimation Jaskirat Singh Liang Zheng 43 0 0 25 Nov 2020
PowerNet: Multi-agent Deep Reinforcement Learning for Scalable Powergrid Control Dong Chen Kaian Chen Tianshu Chu Rui Yao F. Qiu Kaixiang Lin 76 69 0 24 Nov 2020
An analysis of Reinforcement Learning applied to Coach task in IEEE Very Small Size Soccer Carlos H. C. Pena Mateus G. Machado M. S. Barros José D. P. Silva Lucas D. Maciel Ing Ren Tsang Edna N. S. Barros Pedro H. M. Braga H. Bassani 57 2 0 23 Nov 2020
Distributed Deep Reinforcement Learning: An Overview Mohammad Reza Samsami Hossein Alimadad OffRL 43 27 0 22 Nov 2020
FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance Xiao-Yang Liu Hongyang Yang Qian Chen Runjia Zhang Liuqing Yang Bowen Xiao Chris Wang AIFin OffRL 88 127 0 19 Nov 2020
Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge? Christian Schroeder de Witt Tarun Gupta Denys Makoviichuk Viktor Makoviychuk Philip Torr Mingfei Sun Shimon Whiteson 94 347 0 18 Nov 2020
Weighted Entropy Modification for Soft Actor-Critic Yizhou Zhao Song-Chun Zhu 37 1 0 18 Nov 2020
Multi-agent Reinforcement Learning Accelerated MCMC on Multiscale Inversion Problem Eric T. Chung Y. Efendiev W. Leung Sai-Mang Pun Zecheng Zhang 46 12 0 17 Nov 2020
Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things Jing Zhang Dacheng Tao 105 477 0 17 Nov 2020
Combining Reinforcement Learning with Model Predictive Control for On-Ramp Merging Joseph Lubars Harsh Gupta Sandeep Chinchali Liyun Li A. Raja R. Srikant Xinzhou Wu 133 37 0 17 Nov 2020
Deep Reinforcement Learning for Stochastic Computation Offloading in Digital Twin Networks Yueyue Dai Ke Zhang Sabita Maharjan Yan Zhang OffRL 65 206 0 17 Nov 2020
Learning Associative Inference Using Fast Weight Memory Imanol Schlag Tsendsuren Munkhdalai Jürgen Schmidhuber KELM 69 47 0 16 Nov 2020
Tonic: A Deep Reinforcement Learning Library for Fast Prototyping and Benchmarking Fabio Pardo OffRL 69 31 0 15 Nov 2020
Query-based Targeted Action-Space Adversarial Policies on Deep Reinforcement Learning Agents Xian Yeow Lee Yasaman Esfandiari Kai Liang Tan Soumik Sarkar AAML 87 33 0 13 Nov 2020
Reinforcement Learning Control of a Biomechanical Model of the Upper Extremity F. Fischer Miroslav Bachinski Markus Klar A. Fleig Jorg Muller 53 46 0 13 Nov 2020
DeepMind Lab2D C. Beattie Thomas Koppe Edgar A. Duénez-Guzmán Joel Z. Leibo VLM 88 18 0 13 Nov 2020
Robotic self-representation improves manipulation skills and transfer learning Phuong D. H. Nguyen Manfred Eppe S. Wermter SSL 36 1 0 13 Nov 2020
Critic PI2: Master Continuous Planning via Policy Improvement with Path Integrals and Deep Actor-Critic Reinforcement Learning Jiajun Fan He Ba Xian Guo Jianye Hao OffRL 49 5 0 13 Nov 2020
Steady State Analysis of Episodic Reinforcement Learning Bojun Huang OffRL 54 23 0 12 Nov 2020
Cross Layer Optimization and Distributed Reinforcement Learning Approach for Tile-Based 360 Degree Wireless Video Streaming Mounssif Krouka Anis Elgabli Mohammed S. Elbamby Cristina Perfecto M. Bennis Vaneet Aggarwal 8 4 0 12 Nov 2020
Reinforcement Learning Experiments and Benchmark for Solving Robotic Reaching Tasks Pierre Aumjaud David McAuliffe Francisco J. Rodríguez-Lera P. Cardiff 69 15 0 11 Nov 2020
Proximal Policy Optimization via Enhanced Exploration Efficiency Junwei Zhang Zhenghao Zhang Shuai Han Shuai Lu 131 44 0 11 Nov 2020
Model-based Reinforcement Learning from Signal Temporal Logic Specifications Parv Kapoor Anand Balakrishnan Jyotirmoy V. Deshmukh 74 21 0 10 Nov 2020
Hierarchical Reinforcement Learning for Relay Selection and Power Optimization in Two-Hop Cooperative Relay Network Yuanzhe Geng Erwu Liu Rui Wang Yiming Liu 22 0 0 10 Nov 2020
Multi-document Summarization via Deep Learning Techniques: A Survey Congbo Ma W. Zhang Mingyu Guo Hu Wang Quan Z. Sheng 130 129 0 10 Nov 2020
Deep reinforcement learning for RAN optimization and control Yu Chen Jie Chen G. Krishnamurthi Huijing Yang Huahui Wang Wenjie Zhao 39 1 0 09 Nov 2020
Combining Propositional Logic Based Decision Diagrams with Decision Making in Urban Systems Jiajing Ling Kushagra Chandak Akshat Kumar AI4CE 41 0 0 09 Nov 2020
Geometric Deep Reinforcement Learning for Dynamic DAG Scheduling Nathan Grinsztajn Olivier Beaumont E. Jeannot Philippe Preux 45 5 0 09 Nov 2020
Multiagent Rollout and Policy Iteration for POMDP with Application to Multi-Robot Repair Problems Sushmita Bhattacharya Siva Kailas Sahil Badyal Stephanie Gil Dimitri Bertsekas 68 25 0 09 Nov 2020
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial Amal Feriani Ekram Hossain 218 245 0 06 Nov 2020
Occlusion-Aware Search for Object Retrieval in Clutter Wissam Bejjani Wisdom C. Agboh M. Dogar Matteo Leonetti 109 36 0 06 Nov 2020
Sample-efficient Reinforcement Learning in Robotic Table Tennis Jonas Tebbe Lukas Krauch Yapeng Gao A. Zell 82 34 0 06 Nov 2020
Diversity-Enriched Option-Critic Anand Kamat Doina Precup OffRL 48 6 0 04 Nov 2020
Federated Knowledge Distillation Hyowoon Seo Jihong Park Seungeun Oh M. Bennis Seong-Lyun Kim FedML 108 92 0 04 Nov 2020
Hybrid Supervised Reinforced Model for Dialogue Systems Carlos Miranda Y. Kessaci BDL OffRL 25 0 0 04 Nov 2020