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 / 1,546 papers shown

Title
Bilevel reinforcement learning via the development of hyper-gradient without lower-level convexity Yan Yang Bin Gao Ya-xiang Yuan 50 2 0 30 May 2024
Offline Regularised Reinforcement Learning for Large Language Models Alignment Pierre Harvey Richemond Yunhao Tang Daniel Guo Daniele Calandriello M. G. Azar ... Gil Shamir Rishabh Joshi Tianqi Liu Rémi Munos Bilal Piot OffRL 46 24 0 29 May 2024
Correctable Landmark Discovery via Large Models for Vision-Language Navigation Bingqian Lin Yunshuang Nie Ziming Wei Yi Zhu Hang Xu Shikui Ma Jianzhuang Liu Xiaodan Liang LM&Ro 39 6 0 29 May 2024
Counterexample-Guided Repair of Reinforcement Learning Systems Using Safety Critics David Boetius Stefan Leue 28 0 0 24 May 2024
Model-free reinforcement learning with noisy actions for automated experimental control in optics Lea Richtmann Viktoria-S. Schmiesing Dennis Wilken Jan Heine Aaron Tranter Avishek Anand Tobias J. Osborne M. Heurs 33 2 0 24 May 2024
Exclusively Penalized Q-learning for Offline Reinforcement Learning Junghyuk Yeom Yonghyeon Jo Jungmo Kim Sanghyeon Lee Seungyul Han OffRL 44 2 0 23 May 2024
A Survey on Vision-Language-Action Models for Embodied AI Yueen Ma Zixing Song Yuzheng Zhuang Jianye Hao Irwin King LM&Ro 82 45 0 23 May 2024
ACEGEN: Reinforcement learning of generative chemical agents for drug discovery Albert Bou Morgan Thomas Sebastian Dittert Carles Navarro Ramírez Maciej Majewski ... Mazen Ahmad Vincent Moens Woody Sherman Simone Sciabola Gianni De Fabritiis 55 6 0 07 May 2024
SwiftRL: Towards Efficient Reinforcement Learning on Real Processing-In-Memory Systems Kailash Gogineni Sai Santosh Dayapule Juan Gómez Luna Karthikeya Gogineni Peng Wei Tian-Shing Lan Mohammad Sadrosadati Onur Mutlu Guru Venkataramani 55 11 0 07 May 2024
Adversarial Attacks on Reinforcement Learning Agents for Command and Control Ahaan Dabholkar James Z. Hare Mark R. Mittrick John Richardson Nick Waytowich Priya Narayanan Saurabh Bagchi AAML 39 1 0 02 May 2024
A Meta-Game Evaluation Framework for Deep Multiagent Reinforcement Learning Zun Li Michael P. Wellman 42 1 0 30 Apr 2024
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for Mobile Edge Computing, its Applications, and Future Research Trajectories Ning Yang Shuo Chen Haijun Zhang Randall Berry OffRL 39 6 0 22 Apr 2024
A survey of air combat behavior modeling using machine learning Patrick Ribu Gorton Andreas Strand K. Brathen AI4CE 37 8 0 22 Apr 2024
Effective Reinforcement Learning Based on Structural Information Principles Xianghua Zeng Hao Peng Dingli Su Angsheng Li 42 0 0 15 Apr 2024
TDANet: Target-Directed Attention Network For Object-Goal Visual Navigation With Zero-Shot Ability Shiwei Lian Feitian Zhang 39 3 0 12 Apr 2024
Generalized Population-Based Training for Hyperparameter Optimization in Reinforcement Learning Hui Bai Ran Cheng 58 4 0 12 Apr 2024
Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective Victor-Alexandru Darvariu Stephen Hailes Mirco Musolesi AI4CE 53 6 0 09 Apr 2024
Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis Guangchen Lan Dong-Jun Han Abolfazl Hashemi Vaneet Aggarwal Christopher G. Brinton 124 15 0 09 Apr 2024
Decentralized Learning Strategies for Estimation Error Minimization with Graph Neural Networks Xingran Chen Navid Naderializadeh Alejandro Ribeiro Shirin Saeedi Bidokhti 177 1 0 04 Apr 2024
VLRM: Vision-Language Models act as Reward Models for Image Captioning Maksim Dzabraev Alexander Kunitsyn Andrei Ivaniuta VLM MLLM 31 3 0 02 Apr 2024
Survey of Computerized Adaptive Testing: A Machine Learning Perspective Qi Liu Zhuang Yan Haoyang Bi Zhenya Huang Weizhe Huang ... Z. Pardos Haiping Ma Mengxiao Zhu Shijin Wang Enhong Chen AI4Ed 49 9 0 31 Mar 2024
One-Shot Averaging for Distributed TD( $λ$ ) Under Markov Sampling Haoxing Tian I. Paschalidis Alexander Olshevsky OffRL 47 4 0 13 Mar 2024
An Improved Strategy for Blood Glucose Control Using Multi-Step Deep Reinforcement Learning Weiwei Gu Senquan Wang 45 5 0 12 Mar 2024
Koopman-Assisted Reinforcement Learning Preston Rozwood Edward Mehrez Ludger Paehler Wen Sun Steven L. Brunton 40 6 0 04 Mar 2024
Dr. Strategy: Model-Based Generalist Agents with Strategic Dreaming Hany Hamed Subin Kim Dongyeong Kim Jaesik Yoon Sungjin Ahn 47 4 0 29 Feb 2024
Enhancing Reinforcement Learning Agents with Local Guides Paul Daoudi Bogdan Robu Christophe Prieur Ludovic Dos Santos M. Barlier OnRL 31 3 0 21 Feb 2024
A Critical Evaluation of AI Feedback for Aligning Large Language Models Archit Sharma Sedrick Scott Keh Eric Mitchell Chelsea Finn Kushal Arora Thomas Kollar ALM LLMAG 29 23 0 19 Feb 2024
Self-evolving Autoencoder Embedded Q-Network Ieee J. Senthilnath Senior Member Zhen Bangjian Zhou Wei Ng Deeksha Aggarwal Rajdeep Dutta Ji Wei Yoon Phyu Aung Keyu Wu Ieee Li Fellow Xiaoli Li 64 1 0 18 Feb 2024
OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations Yao Shu Jiongfeng Fang Y. He Fei Richard Yu 35 0 0 18 Feb 2024
Symmetry-Breaking Augmentations for Ad Hoc Teamwork Ravi Hammond Dustin Craggs Mingyu Guo Jakob Foerster Ian Reid 34 1 0 15 Feb 2024
MAIDCRL: Semi-centralized Multi-Agent Influence Dense-CNN Reinforcement Learning A. S. Nipu Siming Liu Anthony Harris 27 4 0 12 Feb 2024
Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning Zhiheng Xi Wenxiang Chen Boyang Hong Senjie Jin Rui Zheng ... Xinbo Zhang Peng Sun Tao Gui Qi Zhang Xuanjing Huang LRM 42 22 0 08 Feb 2024
COA-GPT: Generative Pre-trained Transformers for Accelerated Course of Action Development in Military Operations Vinicius G. Goecks Nicholas R. Waytowich SLR 48 7 0 01 Feb 2024
The Definitive Guide to Policy Gradients in Deep Reinforcement Learning: Theory, Algorithms and Implementations Matthias Lehmann 46 0 0 24 Jan 2024
UOEP: User-Oriented Exploration Policy for Enhancing Long-Term User Experiences in Recommender Systems Changshuo Zhang Sirui Chen Xiao Zhang Sunhao Dai Weijie Yu Jun Xu OffRL 45 1 0 17 Jan 2024
Adaptive trajectory-constrained exploration strategy for deep reinforcement learning Guojian Wang Faguo Wu Xiao Zhang Ning Guo Zhiming Zheng 41 3 0 27 Dec 2023
Multi-agent reinforcement learning using echo-state network and its application to pedestrian dynamics Hisato Komatsu 16 1 0 19 Dec 2023
Colored Noise in PPO: Improved Exploration and Performance through Correlated Action Sampling Jakob J. Hollenstein Georg Martius J. Piater 22 3 0 18 Dec 2023
Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects Min Hua Dong Chen Xinda Qi Kun Jiang Z. Liu Quan Zhou Hongming Xu 28 10 0 18 Dec 2023
Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences Minyoung Hwang Luca Weihs Chanwoo Park Kimin Lee Aniruddha Kembhavi Kiana Ehsani 37 18 0 14 Dec 2023
$Improve Robustness of Reinforcement Learning against Observation Perturbations via $l_\infty$ Lipschitz Policy Networks$ Improve Robustness of Reinforcement Learning against Observation Perturbations via $l_\infty$ Lipschitz Policy Networks Buqing Nie Jingtian Ji Yangqing Fu Yue Gao 48 4 0 14 Dec 2023
Adaptive parameter sharing for multi-agent reinforcement learning Dapeng Li Na Lou Bin Zhang Zhiwei Xu Guoliang Fan 32 3 0 14 Dec 2023
Machine Learning for the Multi-Dimensional Bin Packing Problem: Literature Review and Empirical Evaluation Wenjie Wu Changjun Fan Jin-Yu Huang Zhong Liu Junchi Yan 38 0 0 13 Dec 2023
An Invitation to Deep Reinforcement Learning Bernhard Jaeger Andreas Geiger OffRL OOD 80 5 0 13 Dec 2023
Mobile Edge Computing and AI Enabled Web3 Metaverse over 6G Wireless Communications: A Deep Reinforcement Learning Approach Wen-li Yu Terence Jie Chua Jun Zhao 24 0 0 11 Dec 2023
Spreeze: High-Throughput Parallel Reinforcement Learning Framework Jing Hou Guang Chen Ruiqi Zhang Zhijun Li Shangding Gu Changjun Jiang OffRL 32 2 0 11 Dec 2023
Robotic Control of the Deformation of Soft Linear Objects Using Deep Reinforcement Learning Mélodie Hani Daniel Zakaria Miguel Aranda Laurent Lequievre S. Lengagne J. Corrales Y. Mezouar AI4CE 20 6 0 08 Dec 2023
Unsupervised Social Event Detection via Hybrid Graph Contrastive Learning and Reinforced Incremental Clustering Yuanyuan Guo Zehua Zang Hang Gao Xiao Xu Rui Wang Lixiang Liu Jiangmeng Li 39 5 0 08 Dec 2023
Towards a Standardized Reinforcement Learning Framework for AAM Contingency Management Luis E. Alvarez Marc W. Brittain Kara Breeden 19 2 0 17 Nov 2023
Autonomous Advanced Aerial Mobility -- An End-to-end Autonomy Framework for UAVs and Beyond Sakshi Mishra Praveen Palanisamy 36 16 0 08 Nov 2023