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 / 111 papers shown

Title
Speeding up Policy Simulation in Supply Chain RL Vivek Farias Joren Gijsbrechts Aryan I. Khojandi Tianyi Peng A. Zheng 99 0 0 04 Jun 2024
Reciprocal Reward Influence Encourages Cooperation From Self-Interested Agents John L. Zhou Weizhe Hong Jonathan C. Kao 111 0 0 03 Jun 2024
Learning Latent Graph Structures and their Uncertainty A. Manenti Daniele Zambon Cesare Alippi BDL 156 1 0 30 May 2024
Bilevel reinforcement learning via the development of hyper-gradient without lower-level convexity Yan Yang Bin Gao Ya-xiang Yuan 119 2 0 30 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 85 2 0 24 May 2024
A Survey on Vision-Language-Action Models for Embodied AI Yueen Ma Zixing Song Yuzheng Zhuang Jianye Hao Irwin King LM&Ro 305 54 0 23 May 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 205 16 0 09 Apr 2024
Decentralized Learning Strategies for Estimation Error Minimization with Graph Neural Networks Xingran Chen Navid Naderializadeh Alejandro Ribeiro Shirin Saeedi Bidokhti 393 1 0 04 Apr 2024
Symmetry-Breaking Augmentations for Ad Hoc Teamwork Ravi Hammond Dustin Craggs Mingyu Guo Jakob Foerster Ian Reid 71 2 0 15 Feb 2024
An Invitation to Deep Reinforcement Learning Bernhard Jaeger Andreas Geiger OffRL OOD 148 5 0 13 Dec 2023
Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation Benjamin Steenhoek Michele Tufano Neel Sundaresan Alexey Svyatkovskiy OffRL ALM 131 21 0 03 Oct 2023
Reinforcement Learning for Generative AI: A Survey Yuanjiang Cao Quan.Z Sheng Julian McAuley Lina Yao SyDa 161 13 0 28 Aug 2023
Improving robot navigation in crowded environments using intrinsic rewards Diego Martínez Baselga L. Riazuelo Luis Montano 109 14 0 13 Feb 2023
DITTO: Offline Imitation Learning with World Models Branton DeMoss Paul Duckworth Nick Hawes Ingmar Posner Ingmar Posner OffRL 66 18 0 06 Feb 2023
Online Reinforcement Learning in Non-Stationary Context-Driven Environments Pouya Hamadanian Arash Nasr-Esfahany Malte Schwarzkopf Siddartha Sen MohammadIman Alizadeh CLL OffRL 113 0 0 04 Feb 2023
Experiential Explanations for Reinforcement Learning Amal Alabdulkarim Madhuri Singh Gennie Mansi Kaely Hall Mark O. Riedl Mark O. Riedl OffRL 119 3 0 10 Oct 2022
q-Learning in Continuous Time Yanwei Jia X. Zhou OffRL 115 77 0 02 Jul 2022
Global Optimality and Finite Sample Analysis of Softmax Off-Policy Actor Critic under State Distribution Mismatch Shangtong Zhang Rémi Tachet des Combes Romain Laroche 86 12 0 04 Nov 2021
Generative Design by Reinforcement Learning: Enhancing the Diversity of Topology Optimization Designs Seowoo Jang Soyoung Yoo Namwoo Kang AI4CE 74 72 0 17 Aug 2020
Explainability in Deep Reinforcement Learning Alexandre Heuillet Fabien Couthouis Natalia Díaz Rodríguez XAI 196 283 0 15 Aug 2020
Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a Survey Aske Plaat W. Kosters Mike Preuss BDL OffRL 103 17 0 11 Aug 2020
COLREG-Compliant Collision Avoidance for Unmanned Surface Vehicle using Deep Reinforcement Learning Eivind Meyer Amalie Heiberg Adil Rasheed Omer San 73 74 0 16 Jun 2020
Agent Modelling under Partial Observability for Deep Reinforcement Learning Georgios Papoudakis Filippos Christianos Stefano V. Albrecht 72 65 0 16 Jun 2020
Learning hierarchical relationships for object-goal navigation Yiding Qiu Anwesan Pal H. Christensen 83 8 0 15 Mar 2020
Explore and Exploit with Heterotic Line Bundle Models Magdalena Larfors Robin Schneider 60 38 0 10 Mar 2020
End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances Marin Toromanoff É. Wirbel Fabien Moutarde OffRL 140 209 0 25 Nov 2019
Learning to reinforcement learn for Neural Architecture Search J. Gomez Joaquin Vanschoren 60 8 0 09 Nov 2019
Collision Avoidance in Pedestrian-Rich Environments with Deep Reinforcement Learning Michael Everett Yu Fan Chen Jonathan P. How OffRL 107 174 0 24 Oct 2019
Multiple-Step Greedy Policies in Online and Approximate Reinforcement Learning Yonathan Efroni Gal Dalal B. Scherrer Shie Mannor OffRL 106 14 0 21 May 2018
Distributed Distributional Deterministic Policy Gradients Gabriel Barth-Maron Matthew W. Hoffman David Budden Will Dabney Dan Horgan TB Dhruva Alistair Muldal N. Heess Timothy Lillicrap OffRL 98 480 0 23 Apr 2018
Diversity-Driven Exploration Strategy for Deep Reinforcement Learning Zhang-Wei Hong Tzu-Yun Shann Shih-Yang Su Yi-Hsiang Chang Chun-Yi Lee 80 124 0 13 Feb 2018
Learning to Factor Policies and Action-Value Functions: Factored Action Space Representations for Deep Reinforcement learning Sahil Sharma A. Suresh Rahul Ramesh Balaraman Ravindran OffRL 54 36 0 20 May 2017
Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning Nat Dilokthanakul Christos Kaplanis Nick Pawlowski Murray Shanahan 72 92 0 18 May 2017
Discrete Sequential Prediction of Continuous Actions for Deep RL Luke Metz Julian Ibarz Navdeep Jaitly James Davidson BDL OffRL 84 120 0 14 May 2017
Toward Low-Flying Autonomous MAV Trail Navigation using Deep Neural Networks for Environmental Awareness Nikolai Smolyanskiy A. Kamenev Jeffrey Smith Stan Birchfield 132 223 0 07 May 2017
Traffic Light Control Using Deep Policy-Gradient and Value-Function Based Reinforcement Learning Seyed Sajad Mousavi Michael Schukat Enda Howley 74 307 0 28 Apr 2017
Surprise-Based Intrinsic Motivation for Deep Reinforcement Learning Joshua Achiam S. Shankar Sastry 76 238 0 06 Mar 2017
Bridging the Gap Between Value and Policy Based Reinforcement Learning Ofir Nachum Mohammad Norouzi Kelvin Xu Dale Schuurmans 171 476 0 28 Feb 2017
Neural Map: Structured Memory for Deep Reinforcement Learning Emilio Parisotto Ruslan Salakhutdinov 75 261 0 27 Feb 2017
Learning Control for Air Hockey Striking using Deep Reinforcement Learning Ayal Taitler N. Shimkin 55 10 0 26 Feb 2017
Collaborative Deep Reinforcement Learning Kaixiang Lin Shu Wang Jiayu Zhou 77 22 0 19 Feb 2017
Wasserstein GAN Martín Arjovsky Soumith Chintala Léon Bottou GAN 179 4,829 0 26 Jan 2017
A Survey of Deep Network Solutions for Learning Control in Robotics: From Reinforcement to Imitation L. Tai Jingwei Zhang Ming-Yuan Liu Joschka Boedecker Wolfram Burgard OffRL 112 78 0 21 Dec 2016
Collective Robot Reinforcement Learning with Distributed Asynchronous Guided Policy Search Ali Yahya A. Li Mrinal Kalakrishnan Yevgen Chebotar Sergey Levine OffRL 87 155 0 03 Oct 2016
Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates S. Gu E. Holly Timothy Lillicrap Sergey Levine OffRL SSL 116 1,483 0 03 Oct 2016
Increasing the Action Gap: New Operators for Reinforcement Learning Marc G. Bellemare Georg Ostrovski A. Guez Philip S. Thomas Rémi Munos 76 157 0 15 Dec 2015
True Online Temporal-Difference Learning H. V. Seijen A. R. Mahmood P. Pilarski Marlos C. Machado R. Sutton OffRL CLL 118 91 0 13 Dec 2015
Dueling Network Architectures for Deep Reinforcement Learning Ziyun Wang Tom Schaul Matteo Hessel H. V. Hasselt Marc Lanctot Nando de Freitas OffRL 91 3,769 0 20 Nov 2015
Prioritized Experience Replay Tom Schaul John Quan Ioannis Antonoglou David Silver OffRL 231 3,796 0 18 Nov 2015
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 175 7,665 0 22 Sep 2015