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 / 1,568 papers shown

Title
Event-Based Communication in Distributed Q-Learning Daniel Jarne Ornia M. Mazo 33 1 0 03 Sep 2021
A Comparative Study of Algorithms for Intelligent Traffic Signal Control Hrishit Chaudhuri Vibha Masti Vishruth Veerendranath Dr. S Natarajan 29 9 0 02 Sep 2021
A Survey of Exploration Methods in Reinforcement Learning Susan Amin Maziar Gomrokchi Harsh Satija H. V. Hoof Doina Precup OffRL 37 80 0 01 Sep 2021
Learning Practically Feasible Policies for Online 3D Bin Packing Hang Zhao Chenyang Zhu Xin Xu Hui Huang Kai Xu OffRL 32 80 0 31 Aug 2021
Deep Reinforcement Learning at the Edge of the Statistical Precipice Rishabh Agarwal Max Schwarzer Pablo Samuel Castro Aaron Courville Marc G. Bellemare OffRL 61 639 0 30 Aug 2021
Federated Reinforcement Learning: Techniques, Applications, and Open Challenges Jiaju Qi Qihao Zhou Lei Lei Kan Zheng FedML 31 146 0 26 Aug 2021
Responsive Regulation of Dynamic UAV Communication Networks Based on Deep Reinforcement Learning Ran Zhang Duc Minh Nguyen Nguyen Miao Wang L. Cai Xuemin X. Shen 11 3 0 25 Aug 2021
MimicBot: Combining Imitation and Reinforcement Learning to win in Bot Bowl Nicola Pezzotti 30 1 0 21 Aug 2021
Settling the Variance of Multi-Agent Policy Gradients J. Kuba Muning Wen Yaodong Yang Linghui Meng Shangding Gu Haifeng Zhang D. Mguni Jun Wang 26 59 0 19 Aug 2021
Continual Backprop: Stochastic Gradient Descent with Persistent Randomness Shibhansh Dohare R. Sutton A. R. Mahmood CLL 52 81 0 13 Aug 2021
Low-level Pose Control of Tilting Multirotor for Wall Perching Tasks Using Reinforcement Learning Hyungyu Lee Myeongwoo Jeong Chanyoung Kim Hyungtae Lim Changgue Park Sungwon Hwang Hyun Myung 22 4 0 11 Aug 2021
DQ-GAT: Towards Safe and Efficient Autonomous Driving with Deep Q-Learning and Graph Attention Networks Peide Cai Hengli Wang Yuxiang Sun Ming Liu GNN 37 39 0 11 Aug 2021
A Survey on Deep Reinforcement Learning for Data Processing and Analytics Qingpeng Cai Can Cui Yiyuan Xiong Wei Wang Zhongle Xie Meihui Zhang OffRL 23 29 0 10 Aug 2021
Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey Zefang Zong Tao Feng Tong Xia Depeng Jin Yong Li 27 3 0 10 Aug 2021
Rethinking of AlphaStar Ruoxi Liu 29 2 0 07 Aug 2021
Semantic Tracklets: An Object-Centric Representation for Visual Multi-Agent Reinforcement Learning Iou-Jen Liu Zhongzheng Ren Raymond A. Yeh Alex Schwing 32 15 0 06 Aug 2021
RIS-assisted UAV Communications for IoT with Wireless Power Transfer Using Deep Reinforcement Learning K. Nguyen Antonino Masaracchia Vishal Sharma H. Vincent Poor T. Duong 22 85 0 05 Aug 2021
Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey A. Abdellatif N. Mhaisen Z. Chkirbene Amr M. Mohamed A. Erbad Mohsen Guizani OffRL AI4TS 25 21 0 05 Aug 2021
On the Robustness of Controlled Deep Reinforcement Learning for Slice Placement José Jurandir Alves Esteves Amina Boubendir Fabrice Michel Guillemin Pierre Sens OOD OffRL 25 5 0 05 Aug 2021
DRL-based Slice Placement Under Non-Stationary Conditions José Jurandir Alves Esteves Amina Boubendir Fabrice Michel Guillemin Pierre Sens OffRL 19 6 0 05 Aug 2021
Active Reinforcement Learning over MDPs Qi Yang Peng Yang K. Tang 46 0 0 05 Aug 2021
High Performance Across Two Atari Paddle Games Using the Same Perceptual Control Architecture Without Training T. Gulrez W. Mansell 24 0 0 04 Aug 2021
Emergent Discrete Communication in Semantic Spaces Mycal Tucker Huao Li Siddharth Agrawal Dana Hughes Katia Sycara Michael Lewis J. Shah 21 28 0 04 Aug 2021
Variational Actor-Critic Algorithms Yuhua Zhu Lexing Ying OffRL 15 0 0 03 Aug 2021
Survey of Recent Multi-Agent Reinforcement Learning Algorithms Utilizing Centralized Training P. Sharma Rolando Fernandez Erin G. Zaroukian M. Dorothy Anjon Basak Derrik E. Asher 13 40 0 29 Jul 2021
Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning Pedro Tsividis J. Loula Jake Burga Nathan Foss Andres Campero Thomas Pouncy S. Gershman J. Tenenbaum LM&Ro 24 44 0 27 Jul 2021
A general sample complexity analysis of vanilla policy gradient Rui Yuan Robert Mansel Gower A. Lazaric 84 62 0 23 Jul 2021
Adversarial Reinforced Instruction Attacker for Robust Vision-Language Navigation Bingqian Lin Yi Zhu Yanxin Long Xiaodan Liang QiXiang Ye Liang Lin AAML 46 16 0 23 Jul 2021
Structured second-order methods via natural gradient descent Wu Lin Frank Nielsen Mohammad Emtiyaz Khan Mark Schmidt ODL 29 9 0 22 Jul 2021
DRIVE: Deep Reinforced Accident Anticipation with Visual Explanation Wentao Bao Qi Yu Yu Kong FAtt 29 39 0 21 Jul 2021
Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning Denis Yarats Rob Fergus A. Lazaric Lerrel Pinto OffRL 36 338 0 20 Jul 2021
Greedification Operators for Policy Optimization: Investigating Forward and Reverse KL Divergences Alan Chan Hugo Silva Sungsu Lim Tadashi Kozuno A. R. Mahmood Martha White 25 29 0 17 Jul 2021
Neighbor-view Enhanced Model for Vision and Language Navigation Dongyan An Yuankai Qi Yan Huang Qi Wu Liang Wang Tieniu Tan LM&Ro 32 67 0 15 Jul 2021
The Benchmark Lottery Mostafa Dehghani Yi Tay A. Gritsenko Zhe Zhao N. Houlsby Fernando Diaz Donald Metzler Oriol Vinyals 44 89 0 14 Jul 2021
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot Joel Z Leibo Edgar A. Duénez-Guzmán A. Vezhnevets J. Agapiou P. Sunehag Raphael Köster Jayd Matyas Charlie Beattie Igor Mordatch T. Graepel OffRL 58 104 0 14 Jul 2021
ReLLIE: Deep Reinforcement Learning for Customized Low-Light Image Enhancement Rongkai Zhang Lanqing Guo Siyu Huang Bihan Wen OffRL 35 48 0 13 Jul 2021
Conservative Offline Distributional Reinforcement Learning Yecheng Jason Ma Dinesh Jayaraman Osbert Bastani OffRL 73 79 0 12 Jul 2021
R3L: Connecting Deep Reinforcement Learning to Recurrent Neural Networks for Image Denoising via Residual Recovery Rongkai Zhang Jiang Zhu Zhiyuan Zha Justin Dauwels Bihan Wen 34 6 0 12 Jul 2021
Stabilizing Neural Control Using Self-Learned Almost Lyapunov Critics Ya-Chien Chang Sicun Gao 23 57 0 11 Jul 2021
ARC: Adversarially Robust Control Policies for Autonomous Vehicles Sampo Kuutti Saber Fallah Richard Bowden AAML 30 5 0 09 Jul 2021
RMA: Rapid Motor Adaptation for Legged Robots Ashish Kumar Zipeng Fu Deepak Pathak Jitendra Malik 28 552 0 08 Jul 2021
Computational Benefits of Intermediate Rewards for Goal-Reaching Policy Learning Yuexiang Zhai Christina Baek Zhengyuan Zhou Jiantao Jiao Yi Ma 27 22 0 08 Jul 2021
AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning Erdun Gao Fan Feng Chaochao Lu Sara Magliacane Kun Zhang 44 66 0 06 Jul 2021
User Role Discovery and Optimization Method based on K-means + Reinforcement learning in Mobile Applications Yuanbang Li OffRL 12 2 0 02 Jul 2021
Reinforcement Learning for Feedback-Enabled Cyber Resilience Yunhan Huang Linan Huang Quanyan Zhu 23 67 0 02 Jul 2021
Goal-Conditioned Reinforcement Learning with Imagined Subgoals Elliot Chane-Sane Cordelia Schmid Ivan Laptev 30 141 0 01 Jul 2021
Applications of the Free Energy Principle to Machine Learning and Neuroscience Beren Millidge DRL 33 7 0 30 Jun 2021
Adaptive Stochastic ADMM for Decentralized Reinforcement Learning in Edge Industrial IoT Wanlu Lei Yu Ye Ming Xiao Mikael Skoglund Zhu Han 28 1 0 30 Jun 2021
Core Challenges in Embodied Vision-Language Planning Jonathan M Francis Nariaki Kitamura Felix Labelle Xiaopeng Lu Ingrid Navarro Jean Oh LM&Ro 54 45 0 26 Jun 2021
Policy Smoothing for Provably Robust Reinforcement Learning Aounon Kumar Alexander Levine S. Feizi AAML 20 56 0 21 Jun 2021