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 / 1,552 papers shown

Title
A Globally Convergent Evolutionary Strategy for Stochastic Constrained Optimization with Applications to Reinforcement Learning Youssef Diouane Aurelien Lucchi Vihang Patil 29 3 0 21 Feb 2022
Cyber-Physical Defense in the Quantum Era Michel Barbeau Joaquín García 30 10 0 21 Feb 2022
Open-Ended Reinforcement Learning with Neural Reward Functions Robert Meier Asier Mujika 37 7 0 16 Feb 2022
Beyond the Policy Gradient Theorem for Efficient Policy Updates in Actor-Critic Algorithms Romain Laroche Rémi Tachet des Combes 51 2 0 15 Feb 2022
QuadSim: A Quadcopter Rotational Dynamics Simulation Framework For Reinforcement Learning Algorithms Burak Han Demirbilek 18 0 0 14 Feb 2022
On the Convergence of SARSA with Linear Function Approximation Shangtong Zhang Rémi Tachet des Combes Romain Laroche 26 10 0 14 Feb 2022
Sequential Bayesian experimental designs via reinforcement learning Hikaru Asano OffRL 18 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 29 16 0 13 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 36 29 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 40 16 0 10 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 13 613 0 07 Feb 2022
A Temporal-Difference Approach to Policy Gradient Estimation Samuele Tosatto Andrew Patterson Martha White A. R. Mahmood OffRL 27 2 0 04 Feb 2022
A Survey on Safety-Critical Driving Scenario Generation -- A Methodological Perspective Wenhao Ding Chejian Xu Mansur Arief Hao-ming Lin Bo Li Ding Zhao 37 146 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 50 250 0 03 Feb 2022
Reinforcement learning of optimal active particle navigation Mahdi Nasiri B. Liebchen 26 24 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 41 14 0 01 Feb 2022
Warmth and competence in human-agent cooperation Kevin R. McKee Xuechunzi Bai S. Fiske 39 26 0 31 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 32 14 0 28 Jan 2022
Generative Adversarial Exploration for Reinforcement Learning Weijun Hong Menghui Zhu Minghuan Liu Weinan Zhang Ming Zhou Yong Yu Peng Sun OnRL 39 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 33 45 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 40 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 26 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 21 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 41 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 49 2 0 21 Jan 2022
Instance-Dependent Confidence and Early Stopping for Reinforcement Learning K. Khamaru Eric Xia Martin J. Wainwright Michael I. Jordan 37 5 0 21 Jan 2022
Profitable Strategy Design by Using Deep Reinforcement Learning for Trades on Cryptocurrency Markets Mohsen Asgari S. H. Khasteh 19 5 0 15 Jan 2022
Demystifying Reinforcement Learning in Time-Varying Systems Pouya Hamadanian Malte Schwarzkopf Siddartha Sen MohammadIman Alizadeh 50 1 0 14 Jan 2022
Bayesian sense of time in biological and artificial brains Zafeirios Fountas Alexey Zakharov 35 0 0 14 Jan 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems Jack Parker-Holder Raghunandan Rajan Xingyou Song André Biedenkapp Yingjie Miao ... Vu-Linh Nguyen Roberto Calandra Aleksandra Faust Frank Hutter Marius Lindauer AI4CE 38 100 0 11 Jan 2022
Glance and Focus Networks for Dynamic Visual Recognition Gao Huang Yulin Wang Kangchen Lv Haojun Jiang Wenhui Huang Pengfei Qi S. Song 3DH 79 49 0 09 Jan 2022
Offline Reinforcement Learning for Road Traffic Control Mayuresh Kunjir Sanjay Chawla OffRL 32 4 0 07 Jan 2022
Mirror Learning: A Unifying Framework of Policy Optimisation J. Kuba Christian Schroeder de Witt Jakob N. Foerster 29 24 0 07 Jan 2022
A Surrogate-Assisted Controller for Expensive Evolutionary Reinforcement Learning Yuxing Wang Tiantian Zhang Yongzhe Chang Bin Liang Xueqian Wang Bo Yuan 29 15 0 01 Jan 2022
Learning Based Task Offloading in Digital Twin Empowered Internet of Vehicles Jinkai Zheng Tom H. Luan Longxiang Gao Yao Zhang Yuan Wu 28 14 0 28 Dec 2021
On the Unreasonable Efficiency of State Space Clustering in Personalization Tasks Anton Dereventsov R. Vatsavai Clayton Webster 33 5 0 24 Dec 2021
Maximum Entropy Population-Based Training for Zero-Shot Human-AI Coordination Rui Zhao Jinming Song Yufeng Yuan Haifeng Hu Yang Gao Yi Wu Zhongqian Sun Yang Wei 32 63 0 22 Dec 2021
Value Activation for Bias Alleviation: Generalized-activated Deep Double Deterministic Policy Gradients Jiafei Lyu Yu Yang Jiangpeng Yan Xiu Li OffRL AI4CE 39 5 0 21 Dec 2021
Curriculum Based Reinforcement Learning of Grid Topology Controllers to Prevent Thermal Cascading A. R. Ramapuram Matavalam K. Guddanti Yang Weng V. Ajjarapu AI4CE 27 14 0 18 Dec 2021
Symmetry-aware Neural Architecture for Embodied Visual Navigation Shuang Liu Takayuki Okatani 34 1 0 17 Dec 2021
DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems Martin Rapp R. Khalili Kilian Pfeiffer J. Henkel 24 18 0 16 Dec 2021
Learning to track environment state via predictive autoencoding Marian Andrecki N. K. Taylor 13 0 0 14 Dec 2021
How to Learn and Represent Abstractions: An Investigation using Symbolic Alchemy Badr AlKhamissi Akshay Srinivasan Zeb-Kurth Nelson Samuel Ritter 36 1 0 14 Dec 2021
Towards Interactive Language Modeling Maartje ter Hoeve Evgeny Kharitonov Dieuwke Hupkes Emmanuel Dupoux 26 4 0 14 Dec 2021
Reinforced Abstractive Summarization with Adaptive Length Controlling M. Song Yi Feng L. Jing 36 1 0 14 Dec 2021
Meta-CPR: Generalize to Unseen Large Number of Agents with Communication Pattern Recognition Module Wei-Cheng Tseng Wei Wei Da-Cheng Juan Min Sun 36 2 0 14 Dec 2021
VMAgent: Scheduling Simulator for Reinforcement Learning Junjie Sheng Shengliang Cai Haochuan Cui Wenhao Li Yun Hua ... Yiqiu Hu Lei Zhu Qian Peng Hong Zha Xiangfeng Wang VLM 38 3 0 09 Dec 2021
Recent Advances in Reinforcement Learning in Finance B. Hambly Renyuan Xu Huining Yang OffRL 31 168 0 08 Dec 2021
Attention-Based Model and Deep Reinforcement Learning for Distribution of Event Processing Tasks A. Mazayev F. Al-Tam N. Correia 41 5 0 07 Dec 2021
Godot Reinforcement Learning Agents E. Beeching Jilles Debangoye Olivier Simonin Christian Wolf GP OnRL 24 5 0 07 Dec 2021