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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
Augmenting GAIL with BC for sample efficient imitation learning Rohit Jena Changliu Liu Katia Sycara 119 5 0 21 Jan 2020
Cooperative Highway Work Zone Merge Control based on Reinforcement Learning in A Connected and Automated Environment Tianzhu Ren Yuanchang Xie Liming Jiang 95 33 0 21 Jan 2020
Learning to Control PDEs with Differentiable Physics Philipp Holl V. Koltun Nils Thuerey AI4CE PINN 87 189 0 21 Jan 2020
A Survey of Reinforcement Learning Techniques: Strategies, Recent Development, and Future Directions A. Mondal OffRL 53 8 0 19 Jan 2020
Multi-agent Motion Planning for Dense and Dynamic Environments via Deep Reinforcement Learning Samaneh Hosseini Semnani H. Liu Michael Everett A. D. de Ruiter Jonathan P. How 62 113 0 18 Jan 2020
Algorithms in Multi-Agent Systems: A Holistic Perspective from Reinforcement Learning and Game Theory Yunlong Lu Kai Yan AI4CE 172 13 0 17 Jan 2020
SEERL: Sample Efficient Ensemble Reinforcement Learning Rohan Saphal Balaraman Ravindran Dheevatsa Mudigere Sasikanth Avancha Bharat Kaul 65 19 0 15 Jan 2020
PoPS: Policy Pruning and Shrinking for Deep Reinforcement Learning Dor Livne Kobi Cohen 64 52 0 14 Jan 2020
Population-Guided Parallel Policy Search for Reinforcement Learning Whiyoung Jung Giseung Park Y. Sung OffRL 72 38 0 09 Jan 2020
Distributional Soft Actor-Critic: Off-Policy Reinforcement Learning for Addressing Value Estimation Errors Jingliang Duan Yang Guan Shengbo Eben Li Yangang Ren B. Cheng OffRL 104 186 0 09 Jan 2020
Perception and Navigation in Autonomous Systems in the Era of Learning: A Survey Yang Tang Chaoqiang Zhao Jianrui Wang Chongzhen Zhang Qiyu Sun Weixing Zheng W. Du Feng Qian Jürgen Kurths 173 76 0 08 Jan 2020
Learning Reusable Options for Multi-Task Reinforcement Learning Francisco M. Garcia Chris Nota Philip S. Thomas 26 4 0 06 Jan 2020
Universal Successor Features for Transfer Reinforcement Learning Chen Ma Dylan R. Ashley Junfeng Wen Yoshua Bengio OffRL 58 26 0 05 Jan 2020
Making Sense of Reinforcement Learning and Probabilistic Inference Brendan O'Donoghue Ian Osband Catalin Ionescu OffRL 111 49 0 03 Jan 2020
Intelligent Roundabout Insertion using Deep Reinforcement Learning Alessandro Paolo Capasso Giulio Bacchiani Daniele Molinari 40 17 0 03 Jan 2020
Operationally meaningful representations of physical systems in neural networks Hendrik Poulsen Nautrup Tony Metger Raban Iten Sofiene Jerbi Lea M. Trenkwalder H. Wilming Hans J. Briegel R. Renner AI4CE NAI 82 28 0 02 Jan 2020
On the Role of Weight Sharing During Deep Option Learning Matthew D Riemer Ignacio Cases Clemens Rosenbaum Miao Liu Gerald Tesauro OffRL 111 19 0 31 Dec 2019
Individual specialization in multi-task environments with multiagent reinforcement learners M. Gasparrini Ricard Solé Martí Sánchez-Fibla 21 3 0 29 Dec 2019
Look, Listen, and Act: Towards Audio-Visual Embodied Navigation Chuang Gan Yiwei Zhang Jiajun Wu Boqing Gong J. Tenenbaum 91 139 0 25 Dec 2019
A Survey of Deep Reinforcement Learning in Video Games Kun Shao Zhentao Tang Yuanheng Zhu Nannan Li Dongbin Zhao OffRL AI4TS 135 193 0 23 Dec 2019
A Survey of Deep Learning Applications to Autonomous Vehicle Control Sampo Kuutti Richard Bowden Yaochu Jin P. Barber Saber Fallah 135 528 0 23 Dec 2019
Explain Your Move: Understanding Agent Actions Using Specific and Relevant Feature Attribution Nikaash Puri Sukriti Verma Piyush B. Gupta Dhruv Kayastha Shripad Deshmukh Balaji Krishnamurthy Sameer Singh FAtt AAML 86 79 0 23 Dec 2019
Direct and indirect reinforcement learning Yang Guan Shengbo Eben Li Jingliang Duan Jie Li Yangang Ren Qi Sun B. Cheng OffRL 77 34 0 23 Dec 2019
Predictive Coding for Boosting Deep Reinforcement Learning with Sparse Rewards Xingyu Lu Stas Tiomkin Pieter Abbeel OffRL 74 5 0 21 Dec 2019
Soft Q Network Jingbin Liu Shuai Liu Xinyang Gu OffRL 51 2 0 20 Dec 2019
Extendable NFV-Integrated Control Method Using Reinforcement Learning Akito Suzuki R. Kawahara Masahiro Kobayashi Shigeaki Harada Yousuke Takahashi K. Ishibashi 36 11 0 19 Dec 2019
Optimization for deep learning: theory and algorithms Ruoyu Sun ODL 137 169 0 19 Dec 2019
Taming an autonomous surface vehicle for path following and collision avoidance using deep reinforcement learning Eivind Meyer Haakon Robinson Adil Rasheed Omer San 65 66 0 18 Dec 2019
Centralized Cooperation for Connected and Automated Vehicles at Intersections by Proximal Policy Optimization Yang Guan Yangang Ren Shengbo Eben Li Qi Sun Laiquan Luo Keqiang Li 36 6 0 18 Dec 2019
Learning to grow: control of material self-assembly using evolutionary reinforcement learning S. Whitelam Isaac Tamblyn 53 34 0 18 Dec 2019
Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation Tianhong Dai Kai Arulkumaran Tamara Gerbert Samyakh Tukra Feryal M. P. Behbahani Anil Anthony Bharath 92 28 0 18 Dec 2019
Learning Generalizable Visual Representations via Interactive Gameplay Luca Weihs Aniruddha Kembhavi Kiana Ehsani Sarah M Pratt Winson Han Alvaro Herrasti Eric Kolve Dustin Schwenk Roozbeh Mottaghi Ali Farhadi 63 9 0 17 Dec 2019
Unpaired Image Enhancement Featuring Reinforcement-Learning-Controlled Image Editing Software Satoshi Kosugi T. Yamasaki GAN 72 79 0 17 Dec 2019
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data F. Such Aditya Rawal Joel Lehman Kenneth O. Stanley Jeff Clune DD 72 159 0 17 Dec 2019
Coordination in Adversarial Sequential Team Games via Multi-Agent Deep Reinforcement Learning A. Celli Marco Ciccone Raffaele Bongo N. Gatti 63 12 0 16 Dec 2019
Network of Evolvable Neural Units: Evolving to Learn at a Synaptic Level Paul Bertens Seong-Whan Lee 42 5 0 16 Dec 2019
PixelRL: Fully Convolutional Network with Reinforcement Learning for Image Processing Ryosuke Furuta Naoto Inoue T. Yamasaki 61 72 0 16 Dec 2019
How Should an Agent Practice? Janarthanan Rajendran Richard L. Lewis Vivek Veeriah Honglak Lee Satinder Singh 71 8 0 15 Dec 2019
Fairness in Multi-agent Reinforcement Learning for Stock Trading Wenhang Bao AIFin 77 8 0 14 Dec 2019
Dota 2 with Large Scale Deep Reinforcement Learning OpenAI OpenAI : Christopher Berner Greg Brockman Brooke Chan ... Szymon Sidor Ilya Sutskever Jie Tang Filip Wolski Susan Zhang GNN VLM CLL AI4CE LRM 186 1,840 0 13 Dec 2019
Recruitment-imitation Mechanism for Evolutionary Reinforcement Learning Shuai Lu Shuai Han Wenbo Zhou Junwei Zhang 72 26 0 13 Dec 2019
The PlayStation Reinforcement Learning Environment (PSXLE) Carlos Purves Cătălina Cangea Petar Velickovic 26 3 0 12 Dec 2019
Control-Tutored Reinforcement Learning F. D. Lellis Fabrizia Auletta G. Russo P. D. Lellis M. D. Bernardo 50 3 0 12 Dec 2019
Learning Improvement Heuristics for Solving Routing Problems Yaoxin Wu Wen Song Zhiguang Cao Jie Zhang Andrew Lim 107 301 0 12 Dec 2019
Biases for Emergent Communication in Multi-agent Reinforcement Learning Tom Eccles Yoram Bachrach Guy Lever Angeliki Lazaridou T. Graepel AI4CE 83 70 0 11 Dec 2019
Efficient Robotic Task Generalization Using Deep Model Fusion Reinforcement Learning Tianying Wang Hao Zhang Wei Qi Toh Erik Cambria Cheston Tan Yan Wu Yong Liu Wei Jing 40 6 0 11 Dec 2019
Marginalized State Distribution Entropy Regularization in Policy Optimization Riashat Islam Zafarali Ahmed Doina Precup 59 17 0 11 Dec 2019
Entropy Regularization with Discounted Future State Distribution in Policy Gradient Methods Riashat Islam Raihan Seraj Pierre-Luc Bacon Doina Precup 58 8 0 11 Dec 2019
Learning to Code: Coded Caching via Deep Reinforcement Learning Navid Naderializadeh S. Asghari 15 1 0 09 Dec 2019
Adversarial recovery of agent rewards from latent spaces of the limit order book Jacobo Roa-Vicens Yuanbo Wang Virgile Mison Y. Gal Ricardo M. A. Silva 51 3 0 09 Dec 2019