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"

50 / 3,591 papers shown

Title
Integrated Conflict Management for UAM with Strategic Demand Capacity Balancing and Learning-based Tactical Deconfliction Shulu Chen A. Evans Marc Brittain Peng Wei 58 18 0 17 May 2023
Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges Ziyuan Zhou Guanjun Liu Ying-Si Tang 120 22 0 17 May 2023
Deep Reinforcement Learning to Maximize Arterial Usage during Extreme Congestion Ashutosh Dutta Milan Jain Arif Khan A. Sathanur AI4CE 74 1 0 16 May 2023
Graph Reinforcement Learning for Network Control via Bi-Level Optimization Daniele Gammelli James Harrison Kaidi Yang Marco Pavone Filipe Rodrigues Francisco Câmara Pereira AI4CE 92 8 0 16 May 2023
Policy Gradient Algorithms Implicitly Optimize by Continuation Adrien Bolland Gilles Louppe D. Ernst 50 3 0 11 May 2023
Optimizing Memory Mapping Using Deep Reinforcement Learning Pengming Wang Mikita Sazanovich Berkin Ilbeyi P. Phothilimthana Manish Purohit ... R. Tung Paula Kurylowicz Kieran Milan Oriol Vinyals D. Mankowitz 76 4 0 11 May 2023
HoneyIoT: Adaptive High-Interaction Honeypot for IoT Devices Through Reinforcement Learning Chong Guan Heting Liu Guohong Cao Sencun Zhu T. L. La Porta 34 7 0 10 May 2023
Towards Scalable Adaptive Learning with Graph Neural Networks and Reinforcement Learning Jean Vassoyan Jill-Jênn Vie Pirmin Lemberger GNN 30 3 0 10 May 2023
Supplementing Gradient-Based Reinforcement Learning with Simple Evolutionary Ideas H. Khadilkar 55 0 0 10 May 2023
Graph Neural Networks and 3-Dimensional Topology Pavel Putrov Song Jin Ri 52 4 0 10 May 2023
Assessment of Reinforcement Learning Algorithms for Nuclear Power Plant Fuel Optimization Paul Seurin K. Shirvan 121 9 0 09 May 2023
RLocator: Reinforcement Learning for Bug Localization Partha Chakraborty Mahmoud Alfadel M. Nagappan 79 9 0 09 May 2023
SMAClite: A Lightweight Environment for Multi-Agent Reinforcement Learning Adam Michalski Filippos Christianos Stefano V. Albrecht 52 4 0 09 May 2023
Information Design in Multi-Agent Reinforcement Learning Yue Lin Wenhao Li H. Zha Baoxiang Wang 72 11 0 08 May 2023
Adaptive Learning Path Navigation Based on Knowledge Tracing and Reinforcement Learning Jyun-Yi Chen Saeed Saeedvand I-Wei Lai 46 2 0 08 May 2023
Truncating Trajectories in Monte Carlo Reinforcement Learning Riccardo Poiani Alberto Maria Metelli Marcello Restelli 60 5 0 07 May 2023
Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity Jinghao Xin Jinwoo Kim Hui Yuan Ning Li OffRL 79 3 0 07 May 2023
Single Node Injection Label Specificity Attack on Graph Neural Networks via Reinforcement Learning Dayuan Chen Jian Zhang Yuqian Lv Jinhuan Wang Hongjie Ni Shanqing Yu Zhen Wang Qi Xuan AAML 97 4 0 04 May 2023
An Asynchronous Updating Reinforcement Learning Framework for Task-oriented Dialog System Bengisu Cagiltay Bilge Mutlu Xiaojie Wang Caixia Yuan OffRL 33 0 0 04 May 2023
More Than an Arm: Using a Manipulator as a Tail for Enhanced Stability in Legged Locomotion Huang Huang Antonio Loquercio Ashish Kumar Neerja Thakkar Ken Goldberg Jitendra Malik 62 6 0 02 May 2023
How Simulation Helps Autonomous Driving:A Survey of Sim2real, Digital Twins, and Parallel Intelligence Xuemin Hu Shen Li Ting Huang Bo Tang Rouxing Huai Long Chen 90 73 0 02 May 2023
Heterogeneous Social Value Orientation Leads to Meaningful Diversity in Sequential Social Dilemmas Udari Madhushani Kevin R. McKee J. Agapiou Joel Z Leibo Richard Everett Thomas W. Anthony Edward Hughes K. Tuyls Edgar A. Duénez-Guzmán 70 3 0 01 May 2023
X-RLflow: Graph Reinforcement Learning for Neural Network Subgraphs Transformation Guoliang He Sean Parker Eiko Yoneki 56 4 0 28 Apr 2023
ALL-E: Aesthetics-guided Low-light Image Enhancement Ling Li Dong Liang Yuan Gao Sheng-Jun Huang Songcan Chen DiffM 61 10 0 28 Apr 2023
Convergence of Adam Under Relaxed Assumptions Haochuan Li Alexander Rakhlin Ali Jadbabaie 103 67 0 27 Apr 2023
CROP: Towards Distributional-Shift Robust Reinforcement Learning using Compact Reshaped Observation Processing Philipp Altmann Fabian Ritz Leonard Feuchtinger Jonas Nusslein Claudia Linnhoff-Popien Thomy Phan OOD OffRL 81 5 0 26 Apr 2023
Efficient Halftoning via Deep Reinforcement Learning Haitian Jiang Dongliang Xiong Xiaowen Jiang Li Ding Liang Chen Kai Huang 67 3 0 24 Apr 2023
Parallel bootstrap-based on-policy deep reinforcement learning for continuous flow control applications J. Viquerat E. Hachem 56 3 0 24 Apr 2023
System III: Learning with Domain Knowledge for Safety Constraints Fazl Barez Hosien Hasanbieg Alesandro Abbate 68 4 0 23 Apr 2023
A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making Carlos Núnez-Molina Pablo Mesejo Juan Fernández-Olivares 126 3 0 20 Apr 2023
SocialLight: Distributed Cooperation Learning towards Network-Wide Traffic Signal Control Harsh Goel Yifeng Zhang Mehul Damani Guillaume Sartoretti 70 8 0 20 Apr 2023
Mastering Asymmetrical Multiplayer Game with Multi-Agent Asymmetric-Evolution Reinforcement Learning Chenglu Sun Yi-cui Zhang Yu Zhang Ziling Lu Jingbin Liu Si-Qi Xu Weidong Zhang 40 0 0 20 Apr 2023
Reinforcement Learning for Picking Cluttered General Objects with Dense Object Descriptors Hoang-Giang Cao Weihao Zeng I-Chen Wu OffRL SSL 61 11 0 20 Apr 2023
Two-Memory Reinforcement Learning Zhao Yang Thomas M. Moerland Mike Preuss Aske Plaat OffRL 53 3 0 20 Apr 2023
Topological Guided Actor-Critic Modular Learning of Continuous Systems with Temporal Objectives Lening Li Zhentian Qian 71 0 0 20 Apr 2023
Robust Route Planning with Distributional Reinforcement Learning in a Stochastic Road Network Environment Xi Lin Paul Szenher John D. Martin Brendan Englot 60 2 0 19 Apr 2023
Heterogeneous-Agent Reinforcement Learning Yifan Zhong J. Kuba Xidong Feng Siyi Hu Jiaming Ji Yaodong Yang 84 47 0 19 Apr 2023
Searching for ribbons with machine learning Sergei Gukov James Halverson Ciprian Manolescu Fabian Ruehle 97 13 0 18 Apr 2023
Reclaimer: A Reinforcement Learning Approach to Dynamic Resource Allocation for Cloud Microservices Quintin Fettes Avinash Karanth Razvan Bunescu Brandon Beckwith S. Subramoney 44 3 0 17 Apr 2023
Towards Controllable Diffusion Models via Reward-Guided Exploration Heng Zhang Tingyang Xu 69 4 0 14 Apr 2023
Deep reinforcement learning applied to an assembly sequence planning problem with user preferences M. Neves Pedro Neto OffRL 63 17 0 13 Apr 2023
Language Instructed Reinforcement Learning for Human-AI Coordination Hengyuan Hu Dorsa Sadigh LM&Ro 96 64 0 13 Apr 2023
Frontier Semantic Exploration for Visual Target Navigation Bangguo Yu Hamidreza Kasaei M. Cao 83 15 0 11 Apr 2023
L3MVN: Leveraging Large Language Models for Visual Target Navigation Bangguo Yu Hamidreza Kasaei M. Cao LM&Ro 118 101 0 11 Apr 2023
Exploration of Lightweight Single Image Denoising with Transformers and Truly Fair Training Haram Choi Cheolwoong Na Jinseop S. Kim Jihoon Yang ViT 53 3 0 04 Apr 2023
Neuroevolution of Recurrent Architectures on Control Tasks Maximilien Le Clei Pierre C. Bellec 31 4 0 03 Apr 2023
Managing power grids through topology actions: A comparative study between advanced rule-based and reinforcement learning agents Malte Lehna J. Viebahn Christoph Scholz Antoine Marot Sven Tomforde 80 23 0 03 Apr 2023
Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring Runzhe Wan Yu Liu James McQueen Doug Hains Rui Song OffRL 63 6 0 02 Apr 2023
Utilizing Reinforcement Learning for de novo Drug Design Hampus Gummesson Svensson C. Tyrchan Ola Engkvist M. Chehreghani 92 20 0 30 Mar 2023
On-line reinforcement learning for optimization of real-life energy trading strategy Lukasz Lepak Pawel Wawrzyñski 38 0 0 28 Mar 2023