Asynchronous Methods for Deep Reinforcement Learning

4 February 2016

Volodymyr Mnih

Adria Puigdomenech Badia

David Silver

Papers citing "Asynchronous Methods for Deep Reinforcement Learning"

50 / 1,547 papers shown

Title
FedHQL: Federated Heterogeneous Q-Learning Flint Xiaofeng Fan Yining Ma Zhongxiang Dai Cheston Tan Bryan Kian Hsiang Low Roger Wattenhofer FedML 24 7 0 26 Jan 2023
Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning Mingqi Yuan Bo Li Xin Jin Wenjun Zeng OffRL 32 8 0 26 Jan 2023
A Survey of Meta-Reinforcement Learning Jacob Beck Risto Vuorio E. Liu Zheng Xiong L. Zintgraf Chelsea Finn Shimon Whiteson OOD OffRL 42 124 0 19 Jan 2023
A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems Megan M. Baker Alexander New Mario Aguilar-Simon Ziad Al-Halah Sébastien M. R. Arnold ... Zifan Xu A. Yanguas-Gil Harel Yedidsion Shangqun Yu Gautam K. Vallabha 35 16 0 18 Jan 2023
DRL-VO: Learning to Navigate Through Crowded Dynamic Scenes Using Velocity Obstacles Zhanteng Xie P. Dames 46 61 0 16 Jan 2023
Mean-Field Control based Approximation of Multi-Agent Reinforcement Learning in Presence of a Non-decomposable Shared Global State Washim Uddin Mondal Vaneet Aggarwal S. Ukkusuri 33 8 0 13 Jan 2023
Actor-Director-Critic: A Novel Deep Reinforcement Learning Framework Zongwei Liu Yonghong Song Yuanlin Zhang OffRL 35 2 0 10 Jan 2023
Symbolic Visual Reinforcement Learning: A Scalable Framework with Object-Level Abstraction and Differentiable Expression Search Wenqing Zheng S. Sharan Zhiwen Fan Kevin Wang Yihan Xi Zhangyang Wang 60 9 0 30 Dec 2022
Asynchronous Hybrid Reinforcement Learning for Latency and Reliability Optimization in the Metaverse over Wireless Communications Wen-li Yu Terence Jie Chua Jun Zhao OffRL 19 20 0 30 Dec 2022
Towards automating Codenames spymasters with deep reinforcement learning Sherman Siu 28 2 0 28 Dec 2022
Variance Reduction for Score Functions Using Optimal Baselines Ronan L. Keane H. Gao 21 0 0 27 Dec 2022
Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers Aleksandar Krnjaic Raul D. Steleac Jonathan D. Thomas Georgios Papoudakis Lukas Schafer ... Kuan-Ho Lao Murat Cubuktepe Matthew Haley Peter Borsting Stefano V. Albrecht OffRL 21 17 0 22 Dec 2022
Reinforcement Learning for Agile Active Target Sensing with a UAV Harshi Goel Laura Jarin-Lipschitz S. Agarwal Sandeep Manjanna Vijay Kumar 27 1 0 16 Dec 2022
Multi-Agent Reinforcement Learning with Shared Resources for Inventory Management Yuandong Ding Ming Feng Guozi Liu Wei Jiang Chuheng Zhang Li Zhao Lei Song Houqiang Li Yan Jin Jiang Bian 35 16 0 15 Dec 2022
Learning Robotic Navigation from Experience: Principles, Methods, and Recent Results Sergey Levine Dhruv Shah SSL 54 21 0 13 Dec 2022
Proximal Policy Optimization Based Reinforcement Learning for Joint Bidding in Energy and Frequency Regulation Markets M. Anwar Changlong Wang F. D. Nijs Hao Wang 21 12 0 13 Dec 2022
PPO-UE: Proximal Policy Optimization via Uncertainty-Aware Exploration Qisheng Zhang Zhen Guo A. Jøsang Lance M. Kaplan F. Chen Dong-Ho Jeong Jin-Hee Cho 25 0 0 13 Dec 2022
Coordinate Ascent for Off-Policy RL with Global Convergence Guarantees Hsin-En Su Yen-Ju Chen Ping-Chun Hsieh Xi Liu OffRL 26 0 0 10 Dec 2022
A Scale-Arbitrary Image Super-Resolution Network Using Frequency-domain Information Jing Fang Yinbo Yu Zhongyuan Wang Xin Ding R. Hu 32 1 0 08 Dec 2022
Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox Qiyue Yin Tongtong Yu S. Shen Jun Yang Meijing Zhao Kaiqi Huang Bin Liang Liangsheng Wang OffRL 33 13 0 01 Dec 2022
Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement Learning Yizhou Zhang Guannan Qu Pan Xu Yiheng Lin Zaiwei Chen Adam Wierman 44 26 0 30 Nov 2022
General policy mapping: online continual reinforcement learning inspired on the insect brain A. Yanguas-Gil Sandeep Madireddy CLL OnRL 21 0 0 30 Nov 2022
Real-time Bidding Strategy in Display Advertising: An Empirical Analysis Mengjuan Liu Zhengning Hu Zhi Lai Daiwei Zheng Xuyun Nie 24 2 0 30 Nov 2022
Beyond CAGE: Investigating Generalization of Learned Autonomous Network Defense Policies M. Wolk A. Applebaum Camron Dennler P. Dwyer M. Moskowitz ... N. Nichols Nicole Park Paul Rachwalski Frank Rau A. Webster OffRL AAML 26 17 0 28 Nov 2022
Navigation as Attackers Wish? Towards Building Robust Embodied Agents under Federated Learning Yunchao Zhang Zonglin Di KAI-QING Zhou Cihang Xie Xin Eric Wang FedML AAML 36 2 0 27 Nov 2022
A Critical Review of Traffic Signal Control and A Novel Unified View of Reinforcement Learning and Model Predictive Control Approaches for Adaptive Traffic Signal Control Xiaoyu Wang Scott Sanner Baher Abdulhai 22 5 0 26 Nov 2022
Melting Pot 2.0 J. Agapiou A. Vezhnevets Edgar A. Duénez-Guzmán Jayd Matyas Yiran Mao ... Sukhdeep Singh Julia Haas Igor Mordatch D. Mobbs Joel Z Leibo 45 32 0 24 Nov 2022
Representation Learning for Continuous Action Spaces is Beneficial for Efficient Policy Learning Tingting Zhao Ying Wang Weidong Sun Yarui Chen Gang Niu Masashi Sugiyama 19 1 0 23 Nov 2022
Predicting Topological Maps for Visual Navigation in Unexplored Environments Huangying Zhan Hamid Rezatofighi Ian Reid 49 0 0 23 Nov 2022
Examining Policy Entropy of Reinforcement Learning Agents for Personalization Tasks Anton Dereventsov Andrew Starnes Clayton Webster 26 4 0 21 Nov 2022
HARL: Hierarchical Adaptive Reinforcement Learning Based Auto Scheduler for Neural Networks Zining Zhang Bingsheng He Zhenjie Zhang 14 5 0 21 Nov 2022
SafeLight: A Reinforcement Learning Method toward Collision-free Traffic Signal Control Wenlu Du J. Ye Jingyi Gu Jing Li Hua Wei Gui-Liu Wang 33 29 0 20 Nov 2022
Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer Value Function Clément Bonnet Laurence Midgley Alexandre Laterre 29 1 0 19 Nov 2022
Universal Distributional Decision-based Black-box Adversarial Attack with Reinforcement Learning Yiran Huang Yexu Zhou Michael Hefenbrock T. Riedel Likun Fang Michael Beigl AAML 24 3 0 15 Nov 2022
An Improved Analysis of (Variance-Reduced) Policy Gradient and Natural Policy Gradient Methods Yanli Liu Kai Zhang Tamer Basar W. Yin 48 102 0 15 Nov 2022
Legged Locomotion in Challenging Terrains using Egocentric Vision Ananye Agarwal Ashish Kumar Jitendra Malik Deepak Pathak 34 207 0 14 Nov 2022
Parallel Automatic History Matching Algorithm Using Reinforcement Learning Omar S. Alolayan Abdullah O. Alomar John R. Williams 33 6 0 14 Nov 2022
PMR: Prototypical Modal Rebalance for Multimodal Learning Yunfeng Fan Wenchao Xu Yining Qi Junxiao Wang Song Guo 32 62 0 14 Nov 2022
When is Realizability Sufficient for Off-Policy Reinforcement Learning? Andrea Zanette OffRL 24 14 0 10 Nov 2022
Coordinating CAV Swarms at Intersections with a Deep Learning Model Jiawei Zhang Sheng Li Li Li 42 26 0 10 Nov 2022
Vision-based navigation and obstacle avoidance via deep reinforcement learning P. Blum Peter Crowley G. Lykotrafitis 24 2 0 09 Nov 2022
Simulation-Based Parallel Training Lucas Meyer Alejandro Ribés Bruno Raffin AI4CE 41 2 0 08 Nov 2022
Policy-Based Reinforcement Learning for Assortative Matching in Human Behavior Modeling Ou Deng Qun Jin 22 1 0 08 Nov 2022
Developing Decentralised Resilience to Malicious Influence in Collective Perception Problem Christopher Wise Aya Hussein Heba El-Fiqi 11 0 0 06 Nov 2022
Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges Qi Liu Xueyuan Li Zirui Li Jingda Wu Guodong Du Xinlu Gao Fan Yang Shihua Yuan 54 8 0 06 Nov 2022
A Survey on Reinforcement Learning in Aviation Applications Pouria Razzaghi Amin Tabrizian Wei Guo Shulu Chen Abenezer Taye Ellis E. Thompson Alexis Bregeon Ali Baheri Peng Wei OffRL 23 52 0 03 Nov 2022
Leveraging Fully Observable Policies for Learning under Partial Observability Hai V. Nguyen Andrea Baisero Dian Wang Chris Amato Robert W. Platt OffRL 32 19 0 03 Nov 2022
Reinforcement Learning Applied to Trading Systems: A Survey L. Felizardo Francisco Caio Lima Paiva Anna Helena Reali Costa E. Del-Moral-Hernandez AIFin 21 1 0 01 Nov 2022
DanZero: Mastering GuanDan Game with Reinforcement Learning Yudong Lu Jian Zhao Youpeng Zhao Wen-gang Zhou Houqiang Li 19 6 0 31 Oct 2022
LearningGroup: A Real-Time Sparse Training on FPGA via Learnable Weight Grouping for Multi-Agent Reinforcement Learning Jenny Yang Jaeuk Kim Joo-Young Kim 31 2 0 29 Oct 2022