Asynchronous Methods for Deep Reinforcement Learning

4 February 2016

Volodymyr Mnih

Adria Puigdomenech Badia

David Silver

Papers citing "Asynchronous Methods for Deep Reinforcement Learning"

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Title
Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World Florian Laurent Manuel Schneider Christian Scheller J. Watson Jiaoyang Li ... Nilabha Bhattacharya Shivam Agarwal A. Egli Erik Nygren Sharada Mohanty 36 27 0 30 Mar 2021
Greedy-GQ with Variance Reduction: Finite-time Analysis and Improved Complexity Shaocong Ma Ziyi Chen Yi Zhou Shaofeng Zou 19 11 0 30 Mar 2021
MaAST: Map Attention with Semantic Transformersfor Efficient Visual Navigation Zachary Seymour Kowshik Thopalli Niluthpol Chowdhury Mithun Han-Pang Chiu S. Samarasekera Rakesh Kumar 3DPC 24 18 0 21 Mar 2021
Weakly Supervised Reinforcement Learning for Autonomous Highway Driving via Virtual Safety Cages Sampo Kuutti Richard Bowden Saber Fallah 40 14 0 17 Mar 2021
Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model Thanh Nguyen Tung M. Luu Thang Vu Chang D. Yoo 23 17 0 15 Mar 2021
Iterative Shrinking for Referring Expression Grounding Using Deep Reinforcement Learning Mingjie Sun Jimin Xiao Eng Gee Lim ObjD 22 34 0 09 Mar 2021
Self-Supervised Online Reward Shaping in Sparse-Reward Environments F. Memarian Wonjoon Goo Rudolf Lioutikov S. Niekum Ufuk Topcu OffRL 39 48 0 08 Mar 2021
MetaView: Few-shot Active Object Recognition Wei Wei Haonan Yu Haichao Zhang Wenyuan Xu Ying Nian Wu 44 4 0 07 Mar 2021
Routing algorithms as tools for integrating social distancing with emergency evacuation Yi-Lin Tsai Chetanya Rastogi P. Kitanidis C. Field 28 10 0 05 Mar 2021
Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction Hongyao Tang Jianye Hao Guangyong Chen Pengfei Chen Chong Chen Yaodong Yang Lu Zhang Wulong Liu Zhaopeng Meng OffRL 35 4 0 03 Mar 2021
Hierarchical and Partially Observable Goal-driven Policy Learning with Goals Relational Graph Xin Ye Yezhou Yang 34 23 0 01 Mar 2021
Decision Making in Monopoly using a Hybrid Deep Reinforcement Learning Approach Trevor Bonjour Marina Haliem A. Alsalem Shilpa Thomas Hongyu Li Vaneet Aggarwal Mayank Kejriwal Bharat K. Bhargava 50 14 0 01 Mar 2021
Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality Tengyu Xu Zhuoran Yang Zhaoran Wang Yingbin Liang OffRL 49 24 0 23 Feb 2021
Training a Resilient Q-Network against Observational Interference Chao-Han Huck Yang I-Te Danny Hung Ouyang Yi Pin-Yu Chen OOD 31 14 0 18 Feb 2021
A Survey of Machine Learning for Computer Architecture and Systems Nan Wu Yuan Xie AI4TS AI4CE 28 145 0 16 Feb 2021
Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing Filippos Christianos Georgios Papoudakis Arrasy Rahman Stefano V. Albrecht 30 115 0 15 Feb 2021
Resilient Machine Learning for Networked Cyber Physical Systems: A Survey for Machine Learning Security to Securing Machine Learning for CPS Felix O. Olowononi D. Rawat Chunmei Liu 41 134 0 14 Feb 2021
Interactive Learning from Activity Description Khanh Nguyen Dipendra Kumar Misra Robert Schapire Miroslav Dudík Patrick Shafto 56 34 0 13 Feb 2021
Deep Reinforcement Agent for Scheduling in HPC Yuping Fan Z. Lan T. Childers Paul M. Rich W. Allcock M. Papka 22 35 0 11 Feb 2021
Towards Hierarchical Task Decomposition using Deep Reinforcement Learning for Pick and Place Subtasks Luca Marzari Ameya Pore Diego DallÁlba G. Aragon-Camarasa Alessandro Farinelli Paolo Fiorini 38 28 0 08 Feb 2021
Rethinking the Implementation Tricks and Monotonicity Constraint in Cooperative Multi-Agent Reinforcement Learning Jian Hu Siyang Jiang Seth Austin Harding Haibin Wu Shihua Liao 24 86 0 06 Feb 2021
An advantage actor-critic algorithm for robotic motion planning in dense and dynamic scenarios Chengmin Zhou Bingding Huang Pasi Fränti 30 1 0 05 Feb 2021
Proactive and AoI-aware Failure Recovery for Stateful NFV-enabled Zero-Touch 6G Networks: Model-Free DRL Approach Amirhossein Shaghaghi Abolfazl Zakeri Nader Mokari M. Javan M. Behdadfar Eduard Axel Jorswieck 16 20 0 02 Feb 2021
GST: Group-Sparse Training for Accelerating Deep Reinforcement Learning Juhyoung Lee Sangyeob Kim Sangjin Kim Wooyoung Jo H. Yoo OffRL 29 9 0 24 Jan 2021
Episodic memory governs choices: An RNN-based reinforcement learning model for decision-making task Xiaohan Zhang Lu Liu Guodong Long Jing Jiang Shenquan Liu 43 18 0 24 Jan 2021
Solving Common-Payoff Games with Approximate Policy Iteration Samuel Sokota Edward Lockhart Finbarr Timbers Elnaz Davoodi Ryan DÓrazio Neil Burch Martin Schmid Michael Bowling Marc Lanctot 47 22 0 11 Jan 2021
Coding for Distributed Multi-Agent Reinforcement Learning Baoqian Wang Junfei Xie Nikolay Atanasov 38 4 0 07 Jan 2021
Geometric Entropic Exploration Z. Guo M. G. Azar Alaa Saade S. Thakoor Bilal Piot Bernardo Avila-Pires Michal Valko Thomas Mesnard Tor Lattimore Rémi Munos 38 30 0 06 Jan 2021
Reinforcement Learning based Collective Entity Alignment with Adaptive Features Weixin Zeng Xiang Zhao Jiuyang Tang Xuemin Lin Paul Groth 27 55 0 05 Jan 2021
A Survey on Deep Reinforcement Learning for Audio-Based Applications S. Latif Heriberto Cuayáhuitl Farrukh Pervez Fahad Shamshad Hafiz Shehbaz Ali Min Zhang OffRL 62 73 0 01 Jan 2021
Faults in Deep Reinforcement Learning Programs: A Taxonomy and A Detection Approach Amin Nikanjam Mohammad Mehdi Morovati Foutse Khomh Houssem Ben Braiek 35 30 0 01 Jan 2021
Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search Y. Fu Zhongzhi Yu Yongan Zhang Yingyan Lin 27 4 0 24 Dec 2020
Multi-Agent Reinforcement Learning for Dynamic Ocean Monitoring by a Swarm of Buoys M. Kouzehgar Malika Meghjani Roland Bouffanais 25 23 0 21 Dec 2020
Planning from Pixels in Atari with Learned Symbolic Representations Andrea Dittadi Frederik K. Drachmann Thomas Bolander 31 11 0 16 Dec 2020
Online Service Migration in Mobile Edge with Incomplete System Information: A Deep Recurrent Actor-Critic Learning Approach Jin Wang Jia Hu Geyong Min Qiang Ni Tarek A. El-Ghazawi 33 28 0 16 Dec 2020
Sim-to-real reinforcement learning applied to end-to-end vehicle control András Kalapos Csaba Gór Róbert Moni I. Harmati 26 14 0 14 Dec 2020
Tutoring Reinforcement Learning via Feedback Control F. D. Lellis G. Russo M. D. Bernardo 19 6 0 12 Dec 2020
Topological Planning with Transformers for Vision-and-Language Navigation Kevin Chen Junshen K. Chen Jo Chuang Marynel Vázquez Silvio Savarese LM&Ro 27 99 0 09 Dec 2020
Multi-agent navigation based on deep reinforcement learning and traditional pathfinding algorithm Hong Qiu AI4CE 27 6 0 05 Dec 2020
Deep reinforcement learning with a particle dynamics environment applied to emergency evacuation of a room with obstacles Yihao Zhang Zhaojie Chai G. Lykotrafitis 26 30 0 30 Nov 2020
Applied Machine Learning for Games: A Graduate School Course Yilei Zeng Aayush Shah Jameson Thai M. Zyda AI4CE 14 3 0 30 Nov 2020
Adaptable Automation with Modular Deep Reinforcement Learning and Policy Transfer Zohreh Raziei Mohsen Moghaddam 28 25 0 27 Nov 2020
An End-to-end Deep Reinforcement Learning Approach for the Long-term Short-term Planning on the Frenet Space Majid Moghadam Ali Alizadeh Engin Tekin G. Elkaim 27 12 0 26 Nov 2020
TLeague: A Framework for Competitive Self-Play based Distributed Multi-Agent Reinforcement Learning Peng Sun Jiechao Xiong Lei Han Xinghai Sun Shuxing Li Jiawei Xu Meng Fang Zhengyou Zhang OffRL LRM 33 19 0 25 Nov 2020
RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem Eric Liang Zhanghao Wu Michael Luo Sven Mika Joseph E. Gonzalez Ion Stoica AI4CE 23 10 0 25 Nov 2020
PowerNet: Multi-agent Deep Reinforcement Learning for Scalable Powergrid Control Dong Chen Kaian Chen Tianshu Chu Rui Yao F. Qiu Kaixiang Lin 41 65 0 24 Nov 2020
An analysis of Reinforcement Learning applied to Coach task in IEEE Very Small Size Soccer Carlos H. C. Pena Mateus G. Machado M. S. Barros José D. P. Silva Lucas D. Maciel Ing Ren Tsang Edna N. S. Barros Pedro H. M. Braga H. Bassani 28 1 0 23 Nov 2020
Distributed Deep Reinforcement Learning: An Overview Mohammad Reza Samsami Hossein Alimadad OffRL 14 27 0 22 Nov 2020
Multi-agent Reinforcement Learning Accelerated MCMC on Multiscale Inversion Problem Eric T. Chung Y. Efendiev W. Leung Sai-Mang Pun Zecheng Zhang 19 12 0 17 Nov 2020
Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things Jing Zhang Dacheng Tao 45 464 0 17 Nov 2020