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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"

50 / 3,591 papers shown

Title
Reinforcement Learning in Practice: Opportunities and Challenges Yuxi Li OffRL 71 9 0 23 Feb 2022
Coordinate-Aligned Multi-Camera Collaboration for Active Multi-Object Tracking Zeyu Fang Jian Zhao Mingyu Yang Wen-gang Zhou Zhenbo Lu Houqiang Li 80 11 0 22 Feb 2022
A Globally Convergent Evolutionary Strategy for Stochastic Constrained Optimization with Applications to Reinforcement Learning Youssef Diouane Aurelien Lucchi Vihang Patil 84 3 0 21 Feb 2022
Cyber-Physical Defense in the Quantum Era Michel Barbeau Joaquín García 59 10 0 21 Feb 2022
Black-box Node Injection Attack for Graph Neural Networks Mingxuan Ju Yujie Fan Yanfang Ye Liang Zhao AAML 121 2 0 18 Feb 2022
Open-Ended Reinforcement Learning with Neural Reward Functions Robert Meier Asier Mujika 101 7 0 16 Feb 2022
Policy Learning and Evaluation with Randomized Quasi-Monte Carlo Sébastien M. R. Arnold P. LÉcuyer Liyu Chen Yi-fan Chen Fei Sha OffRL 84 4 0 16 Feb 2022
Beyond the Policy Gradient Theorem for Efficient Policy Updates in Actor-Critic Algorithms Romain Laroche Rémi Tachet des Combes 94 2 0 15 Feb 2022
One Step at a Time: Long-Horizon Vision-and-Language Navigation with Milestones Chan Hee Song Jihyung Kil Tai-Yu Pan Brian M. Sadler Wei-Lun Chao Yu-Chuan Su LRM 80 33 0 14 Feb 2022
QuadSim: A Quadcopter Rotational Dynamics Simulation Framework For Reinforcement Learning Algorithms Burak Han Demirbilek 24 0 0 14 Feb 2022
On the Convergence of SARSA with Linear Function Approximation Shangtong Zhang Rémi Tachet des Combes Romain Laroche 74 11 0 14 Feb 2022
Sequential Bayesian experimental designs via reinforcement learning Hikaru Asano OffRL 80 0 0 14 Feb 2022
Autonomous Drone Swarm Navigation and Multi-target Tracking in 3D Environments with Dynamic Obstacles Suleman Qamar Dr. Saddam Hussain Khan Muhammad Arif Arshad Maryam Qamar Asifullah Khan 62 16 0 13 Feb 2022
A Unified Perspective on Value Backup and Exploration in Monte-Carlo Tree Search Tuan Dam Carlo DÉramo Jan Peters Joni Pajarinen 51 1 0 11 Feb 2022
Online Decision Transformer Qinqing Zheng Amy Zhang Aditya Grover OffRL 93 209 0 11 Feb 2022
Robots Learn Increasingly Complex Tasks with Intrinsic Motivation and Automatic Curriculum Learning S. Nguyen Nicolas Duminy A. Manoury D. Duhaut Cédric Buche 59 8 0 11 Feb 2022
Uncovering Instabilities in Variational-Quantum Deep Q-Networks Maja Franz Lucas Wolf Maniraman Periyasamy Christian Ufrecht Daniel D. Scherer Axel Plinge Christopher Mutschler Wolfgang Mauerer 131 30 0 10 Feb 2022
Group-Agent Reinforcement Learning Kaiyue Wu Xiaoming Zeng OOD OffRL 37 3 0 10 Feb 2022
Off-Policy Fitted Q-Evaluation with Differentiable Function Approximators: Z-Estimation and Inference Theory Ruiqi Zhang Xuezhou Zhang Chengzhuo Ni Mengdi Wang OffRL 90 16 0 10 Feb 2022
skrl: Modular and Flexible Library for Reinforcement Learning Antonio Serrano-Muñoz D. Chrysostomou Simon Boegh N. Arana-Arexolaleiba 89 32 0 08 Feb 2022
What's Cracking? A Review and Analysis of Deep Learning Methods for Structural Crack Segmentation, Detection and Quantification Jacob König M. Jenkins M. Mannion P. Barrie Gordon Morison 110 14 0 08 Feb 2022
Multi-Agent Path Finding with Prioritized Communication Learning Wenhao Li Hongjun Chen Bo Jin Wenzhe Tan Hong Zha Xiangfeng Wang AI4CE 63 32 0 08 Feb 2022
Attacking c-MARL More Effectively: A Data Driven Approach Nhan H. Pham Lam M. Nguyen Jie Chen Hoang Thanh Lam Subhro Das Tsui-Wei Weng AAML 99 2 0 07 Feb 2022
Red Teaming Language Models with Language Models Ethan Perez Saffron Huang Francis Song Trevor Cai Roman Ring John Aslanides Amelia Glaese Nat McAleese G. Irving AAML 229 672 0 07 Feb 2022
Exploration with Multi-Sample Target Values for Distributional Reinforcement Learning Michael Teng M. van de Panne Frank Wood OOD OffRL 39 1 0 06 Feb 2022
A Temporal-Difference Approach to Policy Gradient Estimation Samuele Tosatto Andrew Patterson Martha White A. R. Mahmood OffRL 118 2 0 04 Feb 2022
Meta-Reinforcement Learning with Self-Modifying Networks Mathieu Chalvidal Thomas Serre Rufin VanRullen KELM 87 5 0 04 Feb 2022
A Survey on Safety-Critical Driving Scenario Generation -- A Methodological Perspective Wenhao Ding Chejian Xu Mansur Arief Hao-ming Lin Yue Liu Ding Zhao 119 163 0 04 Feb 2022
Pre-Trained Language Models for Interactive Decision-Making Shuang Li Xavier Puig Chris Paxton Yilun Du Clinton Jia Wang ... Anima Anandkumar Jacob Andreas Igor Mordatch Antonio Torralba Yuke Zhu LM&Ro 133 264 0 03 Feb 2022
ExPoSe: Combining State-Based Exploration with Gradient-Based Online Search Dixant Mittal Siddharth Aravindan W. Lee OnRL 48 3 0 03 Feb 2022
Reinforcement learning of optimal active particle navigation Mahdi Nasiri B. Liebchen 80 26 0 01 Feb 2022
Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies Carlos Güemes-Palau Paul Almasan Shihan Xiao Xiangle Cheng Xiang Shi Pere Barlet-Ros A. Cabellos-Aparicio 56 9 0 01 Feb 2022
PAGE-PG: A Simple and Loopless Variance-Reduced Policy Gradient Method with Probabilistic Gradient Estimation Matilde Gargiani Andrea Zanelli Andrea Martinelli Tyler H. Summers John Lygeros 76 14 0 01 Feb 2022
Warmth and competence in human-agent cooperation Kevin R. McKee Xuechunzi Bai S. Fiske 116 27 0 31 Jan 2022
Trajectory balance: Improved credit assignment in GFlowNets Nikolay Malkin Moksh Jain Emmanuel Bengio Chen Sun Yoshua Bengio 272 186 0 31 Jan 2022
Zeroth-Order Actor-Critic: An Evolutionary Framework for Sequential Decision Problems Yuheng Lei Jianyu Chen Guojian Zhan Tao Zhang Jiangtao Li Jianyu Chen Shengbo Eben Li Sifa Zheng OffRL 82 3 0 29 Jan 2022
Explaining Reinforcement Learning Policies through Counterfactual Trajectories Julius Frost Olivia Watkins Eric Weiner Pieter Abbeel Trevor Darrell Bryan A. Plummer Kate Saenko OffRL 84 6 0 29 Jan 2022
Do You Need the Entropy Reward (in Practice)? Haonan Yu Haichao Zhang Wei Xu 85 8 0 28 Jan 2022
Discovering Exfiltration Paths Using Reinforcement Learning with Attack Graphs Tyler Cody Abdul Rahman Christopher Redino Lanxiao Huang Ryan Clark Akshay Kakkar Deepak Kushwaha Paul Park Peter A. Beling Edward Bowen 68 14 0 28 Jan 2022
A Regret Minimization Approach to Multi-Agent Control Udaya Ghai Udari Madhushani Naomi Ehrich Leonard Elad Hazan 62 5 0 28 Jan 2022
Leveraging class abstraction for commonsense reinforcement learning via residual policy gradient methods Niklas Höpner Ilaria Tiddi H. V. Hoof 61 3 0 28 Jan 2022
Modeling Human Exploration Through Resource-Rational Reinforcement Learning Marcel Binz Eric Schulz 84 15 0 27 Jan 2022
Generative Adversarial Exploration for Reinforcement Learning Weijun Hong Menghui Zhu Minghuan Liu Weinan Zhang Ming Zhou Yong Yu Peng Sun OnRL 68 7 0 27 Jan 2022
Reinforcement Learning-Empowered Mobile Edge Computing for 6G Edge Intelligence Pengjin Wei Kun Guo Ye Li Jue Wang W. Feng Shi Jin Ning Ge Ying-Chang Liang 104 46 0 27 Jan 2022
DNNFuser: Generative Pre-Trained Transformer as a Generalized Mapper for Layer Fusion in DNN Accelerators Sheng-Chun Kao Xiaoyu Huang T. Krishna AI4CE 98 9 0 26 Jan 2022
Learning Invariable Semantical Representation from Language for Extensible Policy Generalization Yihan Li Jinsheng Ren Tianrun Xu Tianren Zhang Haichuan Gao Feng Chen 53 1 0 26 Jan 2022
Online Attentive Kernel-Based Temporal Difference Learning Guang Yang Xingguo Chen Shangdong Yang Huihui Wang Shaokang Dong Yang Gao OffRL 28 3 0 22 Jan 2022
Environment Generation for Zero-Shot Compositional Reinforcement Learning Izzeddin Gur Natasha Jaques Yingjie Miao Jongwook Choi Manoj Kumar Tiwari Honglak Lee Aleksandra Faust 91 43 0 21 Jan 2022
Reinforcement Learning for Personalized Drug Discovery and Design for Complex Diseases: A Systems Pharmacology Perspective Ryan K. Tan Yang Liu Lei Xie 77 2 0 21 Jan 2022
Instance-Dependent Confidence and Early Stopping for Reinforcement Learning K. Khamaru Eric Xia Martin J. Wainwright Michael I. Jordan 90 6 0 21 Jan 2022