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
Behavior evolution-inspired approach to walking gait reinforcement training for quadruped robots Yu Wang Wenchuan Jia Yi Sun Dong He 57 0 0 25 Sep 2024
Symbolic State Partitioning for Reinforcement Learning Mohsen Ghaffari Mahsa Varshosaz E. Johnsen Andrzej Wasowski 60 1 0 25 Sep 2024
Neural Coordination and Capacity Control for Inventory Management Carson Eisenach Udaya Ghai Dhruv Madeka Kari Torkkola Dean Phillips Foster Sham Kakade 59 0 0 24 Sep 2024
MaskedMimic: Unified Physics-Based Character Control Through Masked Motion Inpainting Chen Tessler Yunrong Guo Ofir Nabati Gal Chechik Xue Bin Peng VGen AI4CE 97 36 0 22 Sep 2024
Causal Reinforcement Learning for Optimisation of Robot Dynamics in Unknown Environments Julian Gerald Dcruz Sam Mahoney Jia Yun Chua Adoundeth Soukhabandith John Mugabe Weisi Guo Miguel Arana-Catania 105 0 0 20 Sep 2024
Disentangling Recognition and Decision Regrets in Image-Based Reinforcement Learning Alihan Hüyük A. R. Koblitz Atefeh Mohajeri M. Andrews OffRL 125 0 0 19 Sep 2024
Average-Reward Maximum Entropy Reinforcement Learning for Underactuated Double Pendulum Tasks Jean Seong Bjorn Choe Bumkyu Choi Jong-kook Kim 73 2 0 13 Sep 2024
Reinforcement Learning Discovers Efficient Decentralized Graph Path Search Strategies Alexei Pisacane Victor-Alexandru Darvariu Mirco Musolesi 48 0 0 12 Sep 2024
An Introduction to Quantum Reinforcement Learning (QRL) Samuel Yen-Chi Chen 64 0 0 09 Sep 2024
GOPT: Generalizable Online 3D Bin Packing via Transformer-based Deep Reinforcement Learning Heng Xiong Changrong Guo Jian Peng Kai Ding Wenjie Chen Xuchong Qiu Long Bai Jianfeng Xu OffRL 62 5 0 09 Sep 2024
QuantFactor REINFORCE: Mining Steady Formulaic Alpha Factors with Variance-bounded REINFORCE Junjie Zhao Chengxi Zhang Min Qin Peng Yang OOD 108 5 0 08 Sep 2024
Goal-Reaching Policy Learning from Non-Expert Observations via Effective Subgoal Guidance Renming Huang Shaochong Liu Yunqiang Pei Peng Wang Guoqing Wang Yang Yang Hengtao Shen OffRL 86 0 0 06 Sep 2024
BEVNav: Robot Autonomous Navigation Via Spatial-Temporal Contrastive Learning in Bird's-Eye View Jiahao Jiang Yuxiang Yang Yingqi Deng Chenlong Ma Jing Zhang SSL 80 4 0 03 Sep 2024
Enhancing Sample Efficiency and Exploration in Reinforcement Learning through the Integration of Diffusion Models and Proximal Policy Optimization Gao Tianci Dmitriev D. Dmitry Konstantin A. Neusypin Yang Bo Rao Shengren OffRL 102 2 0 02 Sep 2024
Compatible Gradient Approximations for Actor-Critic Algorithms Baturay Saglam Dionysis Kalogerias 134 0 0 02 Sep 2024
Discovery of False Data Injection Schemes on Frequency Controllers with Reinforcement Learning Romesh Prasad Malik Hassanaly Xiangyu Zhang Abhijeet Sahu AAML 25 1 0 30 Aug 2024
Coverage Analysis of Multi-Environment Q-Learning Algorithms for Wireless Network Optimization Talha Bozkus Urbashi Mitra 62 2 0 29 Aug 2024
Statistical QoS Provision in Business-Centric Networks Chang Wu Yuang Chen Hancheng Lu 101 0 0 28 Aug 2024
Equivariant Reinforcement Learning under Partial Observability Hai Nguyen Andrea Baisero David Klee Dian Wang Robert Platt Christopher Amato 88 16 0 26 Aug 2024
LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU Peng Zhu Yuante Li Yifan Hu Qinyuan Liu Dawei Cheng Yuqi Liang AIFin AI4TS 167 6 0 26 Aug 2024
Advances in Preference-based Reinforcement Learning: A Review Youssef Abdelkareem Shady Shehata Fakhri Karray OffRL 96 10 0 21 Aug 2024
Optimizing Interpretable Decision Tree Policies for Reinforcement Learning D. Vos Sicco Verwer OffRL 61 3 0 21 Aug 2024
The Evolution of Reinforcement Learning in Quantitative Finance: A Survey Nikolaos Pippas Cagatay Turkay Elliot A. Ludvig AIFin 193 4 0 20 Aug 2024
Enhancing Reinforcement Learning Through Guided Search Jérôme Arjonilla Abdallah Saffidine Tristan Cazenave OffRL 181 0 0 19 Aug 2024
Multi-Agent Reinforcement Learning for Autonomous Driving: A Survey Ruiqi Zhang Jing Hou Florian Walter Shangding Gu Jiayi Guan Florian Röhrbein Yali Du Panpan Cai G. Chen Alois Knoll 134 15 0 19 Aug 2024
Towards Safe and Robust Autonomous Vehicle Platooning: A Self-Organizing Cooperative Control Framework Chengkai Xu Zihao Deng Jiaqi Liu Chao Huang Peng Hang 60 3 0 18 Aug 2024
HistoGym: A Reinforcement Learning Environment for Histopathological Image Analysis Zhi-Bo Liu Xiaobo Pang Jizhao Wang Shuai Liu Chen Li 91 1 0 16 Aug 2024
Neural Reward Machines Elena Umili F. Argenziano Roberto Capobianco NAI 71 2 0 16 Aug 2024
SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning Jianye Xu Pan Hu Bassam Alrifaee 113 5 0 14 Aug 2024
Personalized Dynamic Difficulty Adjustment -- Imitation Learning Meets Reinforcement Learning Ronja Fuchs Robin Gieseke Alexander Dockhorn 43 2 0 13 Aug 2024
Parallel Distributional Deep Reinforcement Learning for Mapless Navigation of Terrestrial Mobile Robots V. A. Kich A. H. Kolling J. C. Jesus Gabriel V. Heisler Hiago Jacobs ... André da Silva Kelbouscas Akihisa Ohya Ricardo B. Grando Paulo Lilles Jorge Drews-Jr D. T. Gamarra 55 3 0 11 Aug 2024
Impacts of Darwinian Evolution on Pre-trained Deep Neural Networks Guodong DU Runhua Jiang Senqiao Yang HaoYang Li Wei Chen Keren Li Sim Kuan Goh Jing Li 69 4 0 10 Aug 2024
Emergence in Multi-Agent Systems: A Safety Perspective Philipp Altmann Julian Schonberger Steffen Illium Maximilian Zorn Fabian Ritz Tom Haider Simon Burton Thomas Gabor 66 1 0 08 Aug 2024
Model-Based Transfer Learning for Contextual Reinforcement Learning Jung-Hoon Cho Vindula Jayawardana Sirui Li Cathy Wu OffRL 158 0 0 08 Aug 2024
e-Health CSIRO at RRG24: Entropy-Augmented Self-Critical Sequence Training for Radiology Report Generation Aaron Nicolson Jinghui Liu Jason Dowling Anthony N. Nguyen Bevan Koopman 81 5 0 07 Aug 2024
Adversarial Safety-Critical Scenario Generation using Naturalistic Human Driving Priors Kunkun Hao Yonggang Luo Wen Cui Yuqiao Bai Jucheng Yang Songyang Yan Yuxi Pan Zijiang Yang AAML 99 20 0 06 Aug 2024
Integrated Intention Prediction and Decision-Making with Spectrum Attention Net and Proximal Policy Optimization Xiao Zhou Chengzhen Meng Wenru Liu Zengqi Peng Ming Liu Jun Ma 109 1 0 06 Aug 2024
Reinforcement Learning based Workflow Scheduling in Cloud and Edge Computing Environments: A Taxonomy, Review and Future Directions Amanda Jayanetti Saman K. Halgamuge Rajkumar Buyya 30 0 0 06 Aug 2024
Generalized Gaussian Temporal Difference Error for Uncertainty-aware Reinforcement Learning Seyeon Kim Joonhun Lee Namhoon Cho Sungjun Han Seungeon Baek 124 0 0 05 Aug 2024
RVI-SAC: Average Reward Off-Policy Deep Reinforcement Learning Yukinari Hisaki Isao Ono 70 2 0 04 Aug 2024
What comes after transformers? -- A selective survey connecting ideas in deep learning Johannes Schneider AI4CE 112 2 0 01 Aug 2024
How to Choose a Reinforcement-Learning Algorithm Fabian Bongratz Vladimir Golkov Lukas Mautner Luca Della Libera Frederik Heetmeyer Felix Czaja Julian Rodemann Daniel Cremers 71 1 0 30 Jul 2024
Finite-Time Analysis of Asynchronous Multi-Agent TD Learning Nicolò Dal Fabbro Arman Adibi Aritra Mitra George J. Pappas 76 2 0 29 Jul 2024
SAPG: Split and Aggregate Policy Gradients Jayesh Singla Ananye Agarwal Deepak Pathak OffRL OnRL 86 5 0 29 Jul 2024
Differentiable Quantum Architecture Search in Asynchronous Quantum Reinforcement Learning Samuel Yen-Chi Chen 108 9 0 25 Jul 2024
Maximum Entropy On-Policy Actor-Critic via Entropy Advantage Estimation Jean Seong Bjorn Choe Jong-Kook Kim 61 2 0 25 Jul 2024
The Curious Case of Representational Alignment: Unravelling Visio-Linguistic Tasks in Emergent Communication Tom Kouwenhoven Max Peeperkorn Bram van Dijk Tessa Verhoef 58 4 0 25 Jul 2024
PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning Huandong Wang Changzheng Gao Yuchen Wu Depeng Jin Lina Yao Yong Li 70 23 0 23 Jul 2024
Functional Acceleration for Policy Mirror Descent Veronica Chelu Doina Precup 108 0 0 23 Jul 2024
Evaluation of Reinforcement Learning for Autonomous Penetration Testing using A3C, Q-learning and DQN Norman Becker Daniel Reti Evridiki V. Ntagiou M. Wallum Hans D. Schotten 96 2 0 22 Jul 2024