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 / 1,766 papers shown

Title
A Review on Deep Learning Techniques for Video Prediction Sergiu Oprea P. Martinez-Gonzalez Alberto Garcia-Garcia John Alejandro Castro-Vargas S. Orts-Escolano Jose Garcia-Rodriguez Antonis Argyros 32 252 0 10 Apr 2020
Optimistic Agent: Accurate Graph-Based Value Estimation for More Successful Visual Navigation M. Moghaddam Qi Wu Ehsan Abbasnejad Javen Qinfeng Shi 38 4 0 07 Apr 2020
Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep Reinforcement Learning P. Costa Jason Rhuggenaath Yingqian Zhang A. Akçay 30 136 0 03 Apr 2020
A Deep Ensemble Multi-Agent Reinforcement Learning Approach for Air Traffic Control Supriyo Ghosh Sean Laguna Shiau Hong Lim L. Wynter Hasan A. Poonawala 35 14 0 03 Apr 2020
Multi-agent Reinforcement Learning for Networked System Control Tianshu Chu Sandeep P. Chinchali Sachin Katti 28 108 0 03 Apr 2020
Action Space Shaping in Deep Reinforcement Learning Anssi Kanervisto Christian Scheller Ville Hautamaki 37 81 0 02 Apr 2020
Counterfactual Multi-Agent Reinforcement Learning with Graph Convolution Communication Jianyu Su Stephen C. Adams Peter A. Beling 26 26 0 01 Apr 2020
Leverage the Average: an Analysis of KL Regularization in RL Nino Vieillard Tadashi Kozuno B. Scherrer Olivier Pietquin Rémi Munos Matthieu Geist 29 43 0 31 Mar 2020
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey Chongzhen Zhang Jianrui Wang Gary G. Yen Chaoqiang Zhao Qiyu Sun Yang Tang Feng Qian Jürgen Kurths AAML 51 20 0 29 Mar 2020
Fiber: A Platform for Efficient Development and Distributed Training for Reinforcement Learning and Population-Based Methods Jiale Zhi Rui Wang Jeff Clune Kenneth O. Stanley OffRL 35 12 0 25 Mar 2020
Incorporating Relational Background Knowledge into Reinforcement Learning via Differentiable Inductive Logic Programming Ali Payani Faramarz Fekri 26 18 0 23 Mar 2020
Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics Amir H. Mosavi Pedram Ghamisi Yaser Faghan Puhong Duan OffRL 32 152 0 21 Mar 2020
Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations Huan Zhang Hongge Chen Chaowei Xiao Yue Liu Mingyan D. Liu Duane S. Boning Cho-Jui Hsieh AAML 61 262 0 19 Mar 2020
Learning to Fly via Deep Model-Based Reinforcement Learning Philip Becker-Ehmck Maximilian Karl Jan Peters Patrick van der Smagt SSL 67 37 0 19 Mar 2020
Learning hierarchical relationships for object-goal navigation Yiding Qiu Anwesan Pal H. Christensen 49 8 0 15 Mar 2020
Online Meta-Critic Learning for Off-Policy Actor-Critic Methods Wei Zhou Yiying Li Yongxin Yang Huaimin Wang Timothy M. Hospedales OffRL 37 47 0 11 Mar 2020
Machine Learning for Intelligent Optical Networks: A Comprehensive Survey Rentao Gu Zeyuan Yang Yuefeng Ji 32 109 0 11 Mar 2020
Explore and Exploit with Heterotic Line Bundle Models Magdalena Larfors Robin Schneider 41 38 0 10 Mar 2020
Stable Policy Optimization via Off-Policy Divergence Regularization Ahmed Touati Amy Zhang Joelle Pineau Pascal Vincent OffRL 41 17 0 09 Mar 2020
Better Captioning with Sequence-Level Exploration Jia Chen Qin Jin 37 12 0 08 Mar 2020
Reinforcement Learning for Combinatorial Optimization: A Survey Nina Mazyavkina S. Sviridov Sergei Ivanov Evgeny Burnaev 49 608 0 07 Mar 2020
Embodied Synaptic Plasticity with Online Reinforcement learning Jacques Kaiser M. Hoff Andreas Konle J. C. V. Tieck David Kappel ... Anand Subramoney Robert Legenstein A. Rönnau Wolfgang Maass Rüdiger Dillmann OffRL 8 16 0 03 Mar 2020
AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning Qijing Huang Ameer Haj-Ali William S. Moses J. Xiang Ion Stoica Krste Asanović J. Wawrzynek 21 56 0 02 Mar 2020
RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments Roberta Raileanu Tim Rocktaschel 26 171 0 27 Feb 2020
Plannable Approximations to MDP Homomorphisms: Equivariance under Actions Elise van der Pol Thomas Kipf F. Oliehoek Max Welling 38 77 0 27 Feb 2020
Using Reinforcement Learning in the Algorithmic Trading Problem E. Ponomarev Ivan Oseledets A. Cichocki 32 24 0 26 Feb 2020
Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration Hoang Trung-Dung Yitao Liang Guy Van den Broeck OffRL 42 3 0 25 Feb 2020
Sketch Less for More: On-the-Fly Fine-Grained Sketch Based Image Retrieval A. Bhunia Yongxin Yang Timothy M. Hospedales Tao Xiang Yi-Zhe Song 50 103 0 24 Feb 2020
Disentangling Controllable Object through Video Prediction Improves Visual Reinforcement Learning Yuanyi Zhong Alex Schwing Jian Peng DRL 30 5 0 21 Feb 2020
Enhanced Adversarial Strategically-Timed Attacks against Deep Reinforcement Learning Chao-Han Huck Yang Jun Qi Pin-Yu Chen Ouyang Yi I-Te Danny Hung Chin-Hui Lee Xiaoli Ma AAML 26 29 0 20 Feb 2020
Multi-Agent Meta-Reinforcement Learning for Self-Powered and Sustainable Edge Computing Systems M. S. Munir N. H. Tran Walid Saad Choong Seon Hong 29 19 0 20 Feb 2020
Efficient Deep Reinforcement Learning via Adaptive Policy Transfer Tianpei Yang Jianye Hao Zhaopeng Meng Zongzhang Zhang Yujing Hu ... Changjie Fan Weixun Wang Wulong Liu Zhaodong Wang J. Peng OffRL 24 12 0 19 Feb 2020
Resource Management in Wireless Networks via Multi-Agent Deep Reinforcement Learning Navid Naderializadeh J. Sydir M. Simsek Hosein Nikopour 34 121 0 14 Feb 2020
Stable Training of DNN for Speech Enhancement based on Perceptually-Motivated Black-Box Cost Function M. Kawanaka Yuma Koizumi Ryoichi Miyazaki Kohei Yatabe AAML 27 23 0 14 Feb 2020
Hoplite: Efficient and Fault-Tolerant Collective Communication for Task-Based Distributed Systems Siyuan Zhuang Zhuohan Li Danyang Zhuo Stephanie Wang Eric Liang Robert Nishihara Philipp Moritz Ion Stoica 27 23 0 13 Feb 2020
Effective Reinforcement Learning through Evolutionary Surrogate-Assisted Prescription Olivier Francon Santiago Gonzalez Babak Hodjat Elliot Meyerson Risto Miikkulainen Xin Qiu Hormoz Shahrzad 28 17 0 13 Feb 2020
SparseIDS: Learning Packet Sampling with Reinforcement Learning Maximilian Bachl Fares Meghdouri J. Fabini Tanja Zseby 23 6 0 10 Feb 2020
Self-Attentive Associative Memory Hung Le T. Tran Svetha Venkatesh 24 56 0 10 Feb 2020
Dynamic Energy Dispatch Based on Deep Reinforcement Learning in IoT-Driven Smart Isolated Microgrids Lei Lei Yue Tan Glenn Dahlenburg W. Xiang K. Zheng 29 68 0 07 Feb 2020
Social diversity and social preferences in mixed-motive reinforcement learning Kevin R. McKee I. Gemp Brian McWilliams Edgar A. Duénez-Guzmán Edward Hughes Joel Z Leibo 28 81 0 06 Feb 2020
Attractive or Faithful? Popularity-Reinforced Learning for Inspired Headline Generation Yun-Zhu Song Hong-Han Shuai Sung-Lin Yeh Yi-Lun Wu Lun-Wei Ku Chao-Han Huck Yang 42 21 0 06 Feb 2020
Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making C. Shi Runzhe Wan R. Song Wenbin Lu Ling Leng 33 37 0 05 Feb 2020
Compositional Languages Emerge in a Neural Iterated Learning Model Yi Ren Shangmin Guo Matthieu Labeau Shay B. Cohen S. Kirby 32 97 0 04 Feb 2020
Using Fractal Neural Networks to Play SimCity 1 and Conway's Game of Life at Variable Scales Sam Earle AI4CE 52 18 0 29 Jan 2020
MEMO: A Deep Network for Flexible Combination of Episodic Memories Andrea Banino Adria Puigdomenech Badia Raphael Köster Martin Chadwick V. Zambaldi Demis Hassabis Caswell Barry M. Botvinick D. Kumaran Charles Blundell KELM 31 33 0 29 Jan 2020
Towards Learning Multi-agent Negotiations via Self-Play Yichuan Tang 25 33 0 28 Jan 2020
Rotation, Translation, and Cropping for Zero-Shot Generalization Chang Ye Ahmed Khalifa Philip Bontrager Julian Togelius 37 38 0 27 Jan 2020
PCGRL: Procedural Content Generation via Reinforcement Learning Ahmed Khalifa Philip Bontrager Sam Earle Julian Togelius 26 143 0 24 Jan 2020
EgoMap: Projective mapping and structured egocentric memory for Deep RL E. Beeching Christian Wolf J. Dibangoye Olivier Simonin EgoV 26 27 0 24 Jan 2020
Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning Jianyu Chen Shengbo Eben Li Masayoshi Tomizuka 69 227 0 23 Jan 2020