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
Graph Neural Networks and 3-Dimensional Topology Pavel Putrov Song Jin Ri 33 4 0 10 May 2023
Truncating Trajectories in Monte Carlo Reinforcement Learning Riccardo Poiani Alberto Maria Metelli Marcello Restelli 29 2 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 33 3 0 04 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 49 2 0 01 May 2023
Efficient Halftoning via Deep Reinforcement Learning Haitian Jiang Dongliang Xiong Xiaowen Jiang Li Ding Liang Chen Kai Huang 21 3 0 24 Apr 2023
A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making Carlos Núnez-Molina Pablo Mesejo Juan Fernández-Olivares 34 3 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 27 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 31 2 0 19 Apr 2023
Reclaimer: A Reinforcement Learning Approach to Dynamic Resource Allocation for Cloud Microservices Quintin Fettes Avinash Karanth Razvan Bunescu Brandon Beckwith S. Subramoney 27 3 0 17 Apr 2023
Deep reinforcement learning applied to an assembly sequence planning problem with user preferences M. Neves Pedro Neto OffRL 24 17 0 13 Apr 2023
Language Instructed Reinforcement Learning for Human-AI Coordination Hengyuan Hu Dorsa Sadigh LM&Ro 35 60 0 13 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 32 19 0 03 Apr 2023
Utilizing Reinforcement Learning for de novo Drug Design Hampus Gummesson Svensson C. Tyrchan Ola Engkvist M. Chehreghani 43 17 0 30 Mar 2023
System-status-aware Adaptive Network for Online Streaming Video Understanding Lin Geng Foo Jia Gong Zhipeng Fan Jing Liu AI4TS 37 15 0 28 Mar 2023
Matryoshka Policy Gradient for Entropy-Regularized RL: Convergence and Global Optimality François Ged M. H. Veiga 33 0 0 22 Mar 2023
Boundary-aware Supervoxel-level Iteratively Refined Interactive 3D Image Segmentation with Multi-agent Reinforcement Learning Chaofan Ma Qisen Xu Xiangfeng Wang Bo Jin Xiaoyun Zhang Yanfeng Wang Ya Zhang 37 22 0 19 Mar 2023
A New Policy Iteration Algorithm For Reinforcement Learning in Zero-Sum Markov Games Anna Winnicki R. Srikant 37 1 0 17 Mar 2023
Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning T. Kanazawa Chetan Gupta 29 0 0 15 Mar 2023
Lana: A Language-Capable Navigator for Instruction Following and Generation Xiaohan Wang Wenguan Wang Jiayi Shao Yi Yang LLMAG LM&Ro 46 38 0 15 Mar 2023
DAVIS-Ag: A Synthetic Plant Dataset for Prototyping Domain-Inspired Active Vision in Agricultural Robots Taeyeong Choi Dario Guevara Zifei Cheng Grisha Bandodkar Chonghan Wang B. Bailey Mason Earles Xin Liu 27 1 0 10 Mar 2023
The Lie-Group Bayesian Learning Rule E. M. Kıral Thomas Möllenhoff Mohammad Emtiyaz Khan BDL 25 2 0 08 Mar 2023
Meta-Explore: Exploratory Hierarchical Vision-and-Language Navigation Using Scene Object Spectrum Grounding Minyoung Hwang Jaeyeon Jeong Minsoo Kim Yoonseon Oh Songhwai Oh 38 19 0 07 Mar 2023
From Rolling Over to Walking: Enabling Humanoid Robots to Develop Complex Motor Skills Fanxing Meng Jing Xiao 20 0 0 05 Mar 2023
Double A3C: Deep Reinforcement Learning on OpenAI Gym Games Yangxin Zhong Jiajie He Ling-Xue Kong OffRL 8 2 0 04 Mar 2023
Human-Inspired Framework to Accelerate Reinforcement Learning Ali Beikmohammadi Sindri Magnússon OffRL 29 4 0 28 Feb 2023
The In-Sample Softmax for Offline Reinforcement Learning Chenjun Xiao Han Wang Yangchen Pan Adam White Martha White OffRL 29 26 0 28 Feb 2023
Reinforcement Learning Based Pushing and Grasping Objects from Ungraspable Poses Hao Zhang Hongzhuo Liang Lin Cong Jianzhi Lyu Long Zeng Pingfa Feng Jian-Wei Zhang SSL DRL 34 9 0 26 Feb 2023
Inequity aversion reduces travel time in the traffic light control problem Mersad Hassanjani Farinaz Alamiyan Harandi Pouria Ramazi 19 0 0 23 Feb 2023
Self-supervised network distillation: an effective approach to exploration in sparse reward environments Matej Pecháč M. Chovanec Igor Farkaš 32 3 0 22 Feb 2023
Interactive Video Corpus Moment Retrieval using Reinforcement Learning Zhixin Ma Chong-Wah Ngo 35 3 0 19 Feb 2023
Stochastic Generative Flow Networks L. Pan Dinghuai Zhang Moksh Jain Longbo Huang Yoshua Bengio BDL 52 31 0 19 Feb 2023
Robot path planning using deep reinforcement learning Miguel Quinones-Ramirez Jorge Ríos-Martínez Víctor Uc Cetina SSL 25 5 0 17 Feb 2023
Actional Atomic-Concept Learning for Demystifying Vision-Language Navigation Bingqian Lin Yi Zhu Xiaodan Liang Liang Lin Jian-zhuo Liu CoGe LM&Ro 41 3 0 13 Feb 2023
Improving robot navigation in crowded environments using intrinsic rewards Diego Martínez Baselga L. Riazuelo Luis Montano 45 13 0 13 Feb 2023
Distributional GFlowNets with Quantile Flows Dinghuai Zhang L. Pan Ricky T. Q. Chen Aaron Courville Yoshua Bengio 34 25 0 11 Feb 2023
DITTO: Offline Imitation Learning with World Models Branton DeMoss Paul Duckworth Nick Hawes Ingmar Posner Ingmar Posner OffRL 21 18 0 06 Feb 2023
Offline Learning of Closed-Loop Deep Brain Stimulation Controllers for Parkinson Disease Treatment Qitong Gao Stephen L. Schimdt Afsana Chowdhury Guangyu Feng Jennifer J. Peters Katherine Genty W. Grill Dennis A. Turner Miroslav Pajic OffRL 33 11 0 05 Feb 2023
Open Problems and Modern Solutions for Deep Reinforcement Learning Weiqin Chen OffRL 23 0 0 05 Feb 2023
Online Reinforcement Learning in Non-Stationary Context-Driven Environments Pouya Hamadanian Arash Nasr-Esfahany Malte Schwarzkopf Siddartha Sen MohammadIman Alizadeh CLL OffRL 55 0 0 04 Feb 2023
Two-Stage Constrained Actor-Critic for Short Video Recommendation Qingpeng Cai Zhenghai Xue Chi Zhang Wanqi Xue Shuchang Liu ... Tianyou Zuo Wentao Xie Dong Zheng Peng Jiang Kun Gai OffRL CML 27 44 0 03 Feb 2023
Multiple Thinking Achieving Meta-Ability Decoupling for Object Navigation Ronghao Dang Lu Chen Liuyi Wang Zongtao He Chengju Liu Qi Chen LRM 23 8 0 03 Feb 2023
Learning to Optimize for Reinforcement Learning Qingfeng Lan Rupam Mahmood Shuicheng Yan Zhongwen Xu OffRL 36 6 0 03 Feb 2023
A Survey of Deep Learning: From Activations to Transformers Johannes Schneider Michalis Vlachos ViT MedIm AI4TS AI4CE 50 10 0 01 Feb 2023
Distillation Policy Optimization Jianfei Ma OffRL 26 1 0 01 Feb 2023
CRC-RL: A Novel Visual Feature Representation Architecture for Unsupervised Reinforcement Learning Darshita Jain A. Majumder S. Dutta Swagat Kumar SSL 34 1 0 31 Jan 2023
V2N Service Scaling with Deep Reinforcement Learning Cyril Shih-Huan Hsu Jorge Martín-Pérez Chrysa Papagianni Paola Grosso OffRL 6 2 0 30 Jan 2023
Beyond Exponentially Fast Mixing in Average-Reward Reinforcement Learning via Multi-Level Monte Carlo Actor-Critic Wesley A Suttle Amrit Singh Bedi Bhrij Patel Brian M Sadler Alec Koppel Dinesh Manocha 31 14 0 28 Jan 2023
Neural Episodic Control with State Abstraction Zhuo Li Derui Zhu Yujing Hu Xiaofei Xie Lei Ma Yan Zheng Yan Song Yingfeng Chen Jianjun Zhao OffRL 26 14 0 27 Jan 2023
Train Hard, Fight Easy: Robust Meta Reinforcement Learning Ido Greenberg Shie Mannor Gal Chechik E. Meirom OffRL OOD 21 6 0 26 Jan 2023
FedHQL: Federated Heterogeneous Q-Learning Flint Xiaofeng Fan Yining Ma Zhongxiang Dai Cheston Tan Bryan Kian Hsiang Low Roger Wattenhofer FedML 24 7 0 26 Jan 2023