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
Learning from Naturalistic Driving Data for Human-like Autonomous Highway Driving Donghao Xu Zhezhang Ding Xu He Huijing Zhao M. Moze François Aioun F. Guillemard 14 51 0 23 May 2020
Two-stage Deep Reinforcement Learning for Inverter-based Volt-VAR Control in Active Distribution Networks Haotian Liu Wenchuan Wu OffRL 19 96 0 20 May 2020
Mirror Descent Policy Optimization Manan Tomar Lior Shani Yonathan Efroni Mohammad Ghavamzadeh 35 83 0 20 May 2020
Human Instruction-Following with Deep Reinforcement Learning via Transfer-Learning from Text Felix Hill Soňa Mokrá Nathaniel Wong Tim Harley LM&Ro 35 81 0 19 May 2020
Deep Learning and Knowledge-Based Methods for Computer Aided Molecular Design -- Toward a Unified Approach: State-of-the-Art and Future Directions Abdulelah S. Alshehri R. Gani Fengqi You AI4CE 43 83 0 18 May 2020
Model-Augmented Actor-Critic: Backpropagating through Paths I. Clavera Yao Fu Pieter Abbeel 44 87 0 16 May 2020
On the Global Convergence Rates of Softmax Policy Gradient Methods Jincheng Mei Chenjun Xiao Csaba Szepesvári Dale Schuurmans 52 276 0 13 May 2020
Smooth Exploration for Robotic Reinforcement Learning Antonin Raffin Jens Kober F. Stulp 37 57 0 12 May 2020
Plan2Vec: Unsupervised Representation Learning by Latent Plans Ge Yang Amy Zhang Ari S. Morcos Joelle Pineau Pieter Abbeel Roberto Calandra SSL OffRL 33 27 0 07 May 2020
A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems Anthony Corso Robert J. Moss Mark Koren Ritchie Lee Mykel J. Kochenderfer 39 173 0 06 May 2020
Learning Adaptive Exploration Strategies in Dynamic Environments Through Informed Policy Regularization Pierre-Alexandre Kamienny Matteo Pirotta A. Lazaric Thibault Lavril Nicolas Usunier Ludovic Denoyer 34 19 0 06 May 2020
Robotic Arm Control and Task Training through Deep Reinforcement Learning Andrea Franceschetti E. Tosello Nicola Castaman Stefano Ghidoni 24 32 0 06 May 2020
A Finite Time Analysis of Two Time-Scale Actor Critic Methods Yue Wu Weitong Zhang Pan Xu Quanquan Gu 101 146 0 04 May 2020
Formal Policy Synthesis for Continuous-Space Systems via Reinforcement Learning Milad Kazemi Sadegh Soudjani 35 29 0 04 May 2020
Noise Pollution in Hospital Readmission Prediction: Long Document Classification with Reinforcement Learning Liyan Xu J. Hogan R. Patzer Jinho Choi 22 4 0 04 May 2020
Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey Ammar Haydari Y. Yilmaz AI4TS 37 456 0 02 May 2020
On the Spontaneous Emergence of Discrete and Compositional Signals Nur Lan Emmanuel Chemla Shane Steinert-Threlkeld LRM 21 8 0 30 Apr 2020
Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning Z. Guo Bernardo Avila-Pires Bilal Piot Jean-Bastien Grill Florent Altché Rémi Munos M. G. Azar BDL DRL SSL 66 140 0 30 Apr 2020
Sample-Efficient Model-based Actor-Critic for an Interactive Dialogue Task Katya Kudashkina Valliappa Chockalingam Graham W. Taylor Michael Bowling OffRL LLMAG 38 2 0 28 Apr 2020
The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies Stephan Zheng Alexander R. Trott Sunil Srinivasa Nikhil Naik Melvin Gruesbeck David C. Parkes R. Socher 36 131 0 28 Apr 2020
First return, then explore Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune 52 353 0 27 Apr 2020
A Perspective on Deep Learning for Molecular Modeling and Simulations Jun Zhang Yao-Kun Lei Zhen Zhang Junhan Chang Maodong Li Xu Han Lijiang Yang Yue Yang Y. Gao AI4CE 44 8 0 25 Apr 2020
CFR-RL: Traffic Engineering with Reinforcement Learning in SDN Member Ieee Junjie Zhang Minghao Ye Senior Member Ieee Zehua Guo Chen-Yu Yen F. I. H. Jonathan Chao 16 136 0 24 Apr 2020
OF-VO: Efficient Navigation among Pedestrians Using Commodity Sensors Jing Liang Yi-Ling Qiao Tianrui Guan Tianyi Zhou 18 13 0 23 Apr 2020
Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning Shangtong Zhang Bo Liu Shimon Whiteson 36 38 0 22 Apr 2020
Policy Gradient from Demonstration and Curiosity Jie Chen Wenjun Xu 24 11 0 22 Apr 2020
RoboTHOR: An Open Simulation-to-Real Embodied AI Platform Matt Deitke Winson Han Alvaro Herrasti Aniruddha Kembhavi Eric Kolve ... Eli VanderBilt Matthew Wallingford Luca Weihs Mark Yatskar Ali Farhadi LM&Ro 47 233 0 14 Apr 2020
Reinforcement Learning Approach to Vibration Compensation for Dynamic Feed Drive Systems Ralf Gulde Marc Tuscher A. Csiszar O. Riedel A. Verl AI4CE 19 1 0 14 Apr 2020
A Deep Reinforcement Learning Framework for Continuous Intraday Market Bidding Ioannis Boukas D. Ernst Thibaut Théate Adrien Bolland A. Huynen Martin Buchwald Christelle Wynants Bertrand Cornélusse 12 48 0 13 Apr 2020
Certifiable Robustness to Adversarial State Uncertainty in Deep Reinforcement Learning Michael Everett Bjorn Lutjens Jonathan P. How AAML 27 41 0 11 Apr 2020
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 80 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 27 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 49 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 40 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 34 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