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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
Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs Lior Shani Yonathan Efroni Shie Mannor 87 176 0 06 Sep 2019
$$\sqrt{n}$-Regret for Learning in Markov Decision Processes with Function Approximation and Low Bellman Rank$ $\sqrt{n}$ -Regret for Learning in Markov Decision Processes with Function Approximation and Low Bellman Rank Kefan Dong Jian-wei Peng Yining Wang Yuanshuo Zhou OffRL 81 36 0 05 Sep 2019
Classification with Costly Features as a Sequential Decision-Making Problem Jaromír Janisch Tomás Pevný Viliam Lisý OffRL 61 31 0 05 Sep 2019
No Press Diplomacy: Modeling Multi-Agent Gameplay Philip Paquette Yuchen Lu Steven Bocco Max O. Smith Satya Ortiz-Gagné Jonathan K. Kummerfeld Satinder Singh Joelle Pineau Aaron Courville 91 59 0 04 Sep 2019
Inductive-bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters Subho Sankar Banerjee Saurabh Jha Zbigniew T. Kalbarczyk Ravishankar Iyer 69 11 0 04 Sep 2019
LeDeepChef: Deep Reinforcement Learning Agent for Families of Text-Based Games Leonard Adolphs Thomas Hofmann 68 47 0 04 Sep 2019
rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch Adam Stooke Pieter Abbeel OffRL 79 98 0 03 Sep 2019
Generalization in Transfer Learning S. E. Ada Emre Ugur H. L. Akin 74 18 0 03 Sep 2019
An Open-Source Framework for Adaptive Traffic Signal Control Wade Genders S. Razavi 59 29 0 01 Sep 2019
Neural Policy Gradient Methods: Global Optimality and Rates of Convergence Lingxiao Wang Qi Cai Zhuoran Yang Zhaoran Wang 113 242 0 29 Aug 2019
Networked Control of Nonlinear Systems under Partial Observation Using Continuous Deep Q-Learning Junya Ikemoto T. Ushio 18 4 0 28 Aug 2019
Interactive Machine Comprehension with Information Seeking Agents Xingdi Yuan Jie Fu Marc-Alexandre Côté Yi Tay C. Pal Adam Trischler 104 16 0 27 Aug 2019
A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots Heriberto Cuayáhuitl OffRL 53 17 0 27 Aug 2019
OpenSpiel: A Framework for Reinforcement Learning in Games Marc Lanctot Edward Lockhart Jean-Baptiste Lespiau V. Zambaldi Satyaki Upadhyay ... Julian Schrittwieser Thomas W. Anthony Edward Hughes Ivo Danihelka Jonah Ryan-Davis OffRL 142 254 0 26 Aug 2019
Tutorial and Survey on Probabilistic Graphical Model and Variational Inference in Deep Reinforcement Learning Xudong Sun B. Bischl BDL 67 9 0 25 Aug 2019
Reinforcement Learning in Healthcare: A Survey Chao Yu Jiming Liu S. Nemati LM&MA OffRL 203 582 0 22 Aug 2019
A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation Runzhe Yang Xingyuan Sun Karthik Narasimhan 93 259 0 21 Aug 2019
A survey on intrinsic motivation in reinforcement learning A. Aubret L. Matignon S. Hassas AI4CE 121 144 0 19 Aug 2019
Learning to Advertise for Organic Traffic Maximization in E-Commerce Product Feeds Dagui Chen Junqi Jin Weinan Zhang Fei Pan Lvyin Niu Chuan Yu Jun Wang Han Li Jian Xu Kun Gai 55 6 0 19 Aug 2019
VUSFA:Variational Universal Successor Features Approximator to Improve Transfer DRL for Target Driven Visual Navigation Shamane Siriwardhana Rivindu Weerasekera Denys J. C. Matthies Suranga Nanayakkara 39 8 0 18 Aug 2019
Learning Representations and Agents for Information Retrieval Rodrigo Nogueira AIFin 38 1 0 16 Aug 2019
PHYRE: A New Benchmark for Physical Reasoning A. Bakhtin Laurens van der Maaten Justin Johnson Laura Gustafson Ross B. Girshick LRM 71 129 0 15 Aug 2019
Model-based Lookahead Reinforcement Learning Zhang-Wei Hong Joni Pajarinen Jan Peters 79 10 0 15 Aug 2019
Reward Tampering Problems and Solutions in Reinforcement Learning: A Causal Influence Diagram Perspective Tom Everitt Marcus Hutter Ramana Kumar Victoria Krakovna 116 97 0 13 Aug 2019
Is Deep Reinforcement Learning Really Superhuman on Atari? Leveling the playing field Marin Toromanoff É. Wirbel Fabien Moutarde OffRL 91 25 0 13 Aug 2019
Superstition in the Network: Deep Reinforcement Learning Plays Deceptive Games Philip Bontrager Ahmed Khalifa Damien Anderson Matthew Stephenson Christoph Salge Julian Togelius 59 10 0 12 Aug 2019
A review on Deep Reinforcement Learning for Fluid Mechanics Paul Garnier J. Viquerat Jean Rabault A. Larcher A. Kuhnle E. Hachem AI4CE 78 265 0 12 Aug 2019
A Review of Cooperative Multi-Agent Deep Reinforcement Learning Afshin Oroojlooyjadid Davood Hajinezhad 124 439 0 11 Aug 2019
Behaviour Suite for Reinforcement Learning Ian Osband Yotam Doron Matteo Hessel John Aslanides Eren Sezener ... Satinder Singh Benjamin Van Roy R. Sutton David Silver H. V. Hasselt OffRL 124 183 0 09 Aug 2019
Vision-based Navigation Using Deep Reinforcement Learning Jonáš Kulhánek Erik Derner T. D. Bruin Robert Babuška 75 58 0 08 Aug 2019
Incremental Reinforcement Learning --- a New Continuous Reinforcement Learning Frame Based on Stochastic Differential Equation methods Tianhao Chen Limei Cheng Yang Liu Wenchuan Jia Shugen Ma 23 4 0 08 Aug 2019
Progressive Relation Learning for Group Activity Recognition Guyue Hu Bo Cui Yuan He Shan Yu 92 81 0 08 Aug 2019
Benchmarking Bonus-Based Exploration Methods on the Arcade Learning Environment Adrien Ali Taïga W. Fedus Marlos C. Machado Aaron Courville Marc G. Bellemare 87 41 0 06 Aug 2019
A physics-informed reinforcement learning approach for the interfacial area transport in two-phase flow Z. Dang M. Ishii AI4CE 36 9 0 06 Aug 2019
Comyco: Quality-Aware Adaptive Video Streaming via Imitation Learning Tianchi Huang Chao Zhou Ruixiao Zhang Chenglei Wu Xin Yao Lifeng Sun 62 96 0 06 Aug 2019
Attention Control with Metric Learning Alignment for Image Set-based Recognition Xiaofeng Liu A. Marques J. You G. Giannakis CVBM 81 10 0 05 Aug 2019
Walking with MIND: Mental Imagery eNhanceD Embodied QA Juncheng Li Siliang Tang Leilei Gan Yueting Zhuang 68 23 0 05 Aug 2019
Reusability and Transferability of Macro Actions for Reinforcement Learning Yi-Hsiang Chang Kuan-Yu Chang Henry Kuo Chun-Yi Lee 71 2 0 05 Aug 2019
A View on Deep Reinforcement Learning in System Optimization Ameer Haj-Ali Nesreen Ahmed Theodore L. Willke Joseph E. Gonzalez Krste Asanović Ion Stoica OffRL 69 8 0 04 Aug 2019
Neural Simplex Architecture Dung Phan Radu Grosu N. Jansen Nicola Paoletti S. Smolka Scott D. Stoller 87 62 0 01 Aug 2019
On the Theory of Policy Gradient Methods: Optimality, Approximation, and Distribution Shift Alekh Agarwal Sham Kakade Jason D. Lee G. Mahajan 138 321 0 01 Aug 2019
Optimal Attacks on Reinforcement Learning Policies Alessio Russo Alexandre Proutiere AAML 65 42 0 31 Jul 2019
Multi-Agent Reinforcement Learning Based Frame Sampling for Effective Untrimmed Video Recognition Wenhao Wu Dongliang He Xiao Tan Shifeng Chen Shilei Wen 88 127 0 31 Jul 2019
Model-Free Unsupervised Learning for Optimization Problems with Constraints Chengjian Sun Dong Liu Chenyang Yang 53 10 0 30 Jul 2019
Control of nonlinear, complex and black-boxed greenhouse system with reinforcement learning Byunghyun Ban Soobin Kim 36 10 0 30 Jul 2019
MineRL: A Large-Scale Dataset of Minecraft Demonstrations William H. Guss Brandon Houghton Nicholay Topin Phillip Wang Cayden R. Codel Manuela Veloso Ruslan Salakhutdinov OffRL 97 227 0 29 Jul 2019
To Learn or Not to Learn: Analyzing the Role of Learning for Navigation in Virtual Environments Noriyuki Kojima Jia Deng 76 17 0 26 Jul 2019
Deep Reinforcement Learning for Personalized Search Story Recommendation Jason Zhang Zhang Junming Yin Dongwon Lee Linhong Zhu 45 2 0 26 Jul 2019
A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment Felix Leibfried Sergio Pascual-Diaz Jordi Grau-Moya 123 29 0 26 Jul 2019
Action Semantics Network: Considering the Effects of Actions in Multiagent Systems Weixun Wang Tianpei Yang Yong Liu Jianye Hao Xiaotian Hao Yujing Hu Yingfeng Chen Changjie Fan Yang Gao 98 35 0 26 Jul 2019