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
Work in Progress: Temporally Extended Auxiliary Tasks Craig Sherstan Bilal Kartal Pablo Hernandez-Leal Matthew E. Taylor 42 1 0 01 Apr 2020
Obstacle Tower Without Human Demonstrations: How Far a Deep Feed-Forward Network Goes with Reinforcement Learning Marco Pleines J. Jitsev Mike Preuss Frank Zimmer 62 2 0 01 Apr 2020
Counterfactual Multi-Agent Reinforcement Learning with Graph Convolution Communication Jianyu Su Stephen C. Adams Peter A. Beling 66 26 0 01 Apr 2020
SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models Yucen Luo Alex Beatson Mohammad Norouzi Jun Zhu David Duvenaud Ryan P. Adams Ricky T. Q. Chen 143 29 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 122 43 0 31 Mar 2020
Learning and Testing Variable Partitions Andrej Bogdanov Baoxiang Wang 19 2 0 29 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 95 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 72 12 0 25 Mar 2020
Incorporating Relational Background Knowledge into Reinforcement Learning via Differentiable Inductive Logic Programming Ali Payani Faramarz Fekri 105 18 0 23 Mar 2020
Safe Crossover of Neural Networks Through Neuron Alignment Thomas Uriot Dario Izzo 80 14 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 76 153 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 190 278 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 137 37 0 19 Mar 2020
The Cost of Privacy in Asynchronous Differentially-Private Machine Learning F. Farokhi Nan Wu David Smith M. Kâafar FedML 42 0 0 18 Mar 2020
Placement Optimization with Deep Reinforcement Learning Anna Goldie Azalia Mirhoseini OffRL 29 36 0 18 Mar 2020
A Deep Multi-Agent Reinforcement Learning Approach to Autonomous Separation Assurance Marc Brittain Xuxi Yang Peng Wei 34 19 0 17 Mar 2020
PFPN: Continuous Control of Physically Simulated Characters using Particle Filtering Policy Network Pei Xu Ioannis Karamouzas 28 3 0 16 Mar 2020
Learning hierarchical relationships for object-goal navigation Yiding Qiu Anwesan Pal H. Christensen 98 8 0 15 Mar 2020
Vision-Dialog Navigation by Exploring Cross-modal Memory Yi Zhu Fengda Zhu Zhaohuan Zhan Bingqian Lin Jianbin Jiao Xiaojun Chang Xiaodan Liang VLM 91 49 0 15 Mar 2020
Taylor Expansion Policy Optimization Yunhao Tang Michal Valko Rémi Munos OffRL 65 14 0 13 Mar 2020
A General Framework for Learning Mean-Field Games Xin Guo Anran Hu Renyuan Xu Junzi Zhang OffRL AI4CE 141 51 0 13 Mar 2020
Online Meta-Critic Learning for Off-Policy Actor-Critic Methods Wei Zhou Yiying Li Yongxin Yang Huaimin Wang Timothy M. Hospedales OffRL 76 48 0 11 Mar 2020
Machine Learning for Intelligent Optical Networks: A Comprehensive Survey Rentao Gu Zeyuan Yang Yuefeng Ji 67 115 0 11 Mar 2020
Explore and Exploit with Heterotic Line Bundle Models Magdalena Larfors Robin Schneider 81 38 0 10 Mar 2020
Towards Interpretable ANNs: An Exact Transformation to Multi-Class Multivariate Decision Trees Duy T. Nguyen Kathryn E. Kasmarik H. Abbass 44 9 0 10 Mar 2020
Exploring Unknown States with Action Balance Yan Song Yingfeng Chen Yujing Hu Changjie Fan 48 5 0 10 Mar 2020
Human AI interaction loop training: New approach for interactive reinforcement learning N. Navidi 41 6 0 09 Mar 2020
Stable Policy Optimization via Off-Policy Divergence Regularization Ahmed Touati Amy Zhang Joelle Pineau Pascal Vincent OffRL 130 17 0 09 Mar 2020
Better Captioning with Sequence-Level Exploration Jia Chen Qin Jin 71 12 0 08 Mar 2020
Reinforcement Learning for Combinatorial Optimization: A Survey Nina Mazyavkina S. Sviridov Sergei Ivanov Evgeny Burnaev 155 628 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 38 16 0 03 Mar 2020
Relevance-Guided Modeling of Object Dynamics for Reinforcement Learning William Agnew Pedro M. Domingos OffRL 95 3 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 62 60 0 02 Mar 2020
Fully Asynchronous Policy Evaluation in Distributed Reinforcement Learning over Networks Xingyu Sha Jiaqi Zhang Keyou You Jianchao Tan Tamer Basar OffRL 71 24 0 01 Mar 2020
A Hybrid Stochastic Policy Gradient Algorithm for Reinforcement Learning Nhan H. Pham Lam M. Nguyen Dzung Phan Phuong Ha Nguyen Marten van Dijk Quoc Tran-Dinh 75 25 0 01 Mar 2020
RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments Roberta Raileanu Tim Rocktaschel 90 174 0 27 Feb 2020
Training Adversarial Agents to Exploit Weaknesses in Deep Control Policies Sampo Kuutti Saber Fallah Richard Bowden AAML 67 49 0 27 Feb 2020
Plannable Approximations to MDP Homomorphisms: Equivariance under Actions Elise van der Pol Thomas Kipf F. Oliehoek Max Welling 81 80 0 27 Feb 2020
Review, Analysis and Design of a Comprehensive Deep Reinforcement Learning Framework Ngoc Duy Nguyen Thanh Thi Nguyen Hai V. Nguyen Doug Creighton S. Nahavandi 172 4 0 27 Feb 2020
A Visual Communication Map for Multi-Agent Deep Reinforcement Learning Ngoc Duy Nguyen Thanh Thi Nguyen Doug Creighton S. Nahavandi 48 5 0 27 Feb 2020
Optimistic Exploration even with a Pessimistic Initialisation Tabish Rashid Bei Peng Wendelin Bohmer Shimon Whiteson OffRL OnRL 78 45 0 26 Feb 2020
Using Reinforcement Learning in the Algorithmic Trading Problem E. Ponomarev Ivan Oseledets A. Cichocki 67 25 0 26 Feb 2020
Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration Hoang Trung-Dung Yitao Liang Guy Van den Broeck OffRL 71 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 144 104 0 24 Feb 2020
Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations Xiao Ma Peter Karkus David Hsu W. Lee N. Ye OffRL 51 43 0 23 Feb 2020
Learning Fairness-aware Relational Structures Yue Zhang Arti Ramesh FaML 26 7 0 21 Feb 2020
Disentangling Controllable Object through Video Prediction Improves Visual Reinforcement Learning Yuanyi Zhong Alex Schwing Jian Peng DRL 123 5 0 21 Feb 2020
Risk-Aware Energy Scheduling for Edge Computing with Microgrid: A Multi-Agent Deep Reinforcement Learning Approach M. S. Munir S. F. Abedin N. H. Tran Zhu Han Eui-nam Huh Choong Seon Hong 47 31 0 21 Feb 2020
Accelerating Reinforcement Learning with a Directional-Gaussian-Smoothing Evolution Strategy Jiaxing Zhang Hoang Tran Guannan Zhang 68 9 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 74 29 0 20 Feb 2020