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 / 1,517 papers shown

Title
CARLA: An Open Urban Driving Simulator Alexey Dosovitskiy G. Ros Felipe Codevilla Antonio M. López V. Koltun VLM 98 5,075 0 10 Nov 2017
Reinforcement Learning of Speech Recognition System Based on Policy Gradient and Hypothesis Selection Taku Kato T. Shinozaki 17 21 0 10 Nov 2017
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning Marc Lanctot V. Zambaldi A. Gruslys Angeliki Lazaridou K. Tuyls Julien Perolat David Silver T. Graepel 50 628 0 02 Nov 2017
Visualizing and Understanding Atari Agents S. Greydanus Anurag Koul Jonathan Dodge Alan Fern FAtt 37 342 0 31 Oct 2017
TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning Gregory Farquhar Tim Rocktaschel Maximilian Igl Shimon Whiteson OffRL 25 71 0 31 Oct 2017
Predicting Head Movement in Panoramic Video: A Deep Reinforcement Learning Approach Yuhang Song Mai Xu Jianyi Wang Minglang Qiao Liangyu Huo Zulin Wang 37 205 0 30 Oct 2017
Diff-DAC: Distributed Actor-Critic for Average Multitask Deep Reinforcement Learning Sergio Valcarcel Macua Aleksi Tukiainen D. Hernández David Baldazo Enrique Munoz de Cote S. Zazo 32 29 0 28 Oct 2017
Understanding Early Word Learning in Situated Artificial Agents Felix Hill S. Clark Karl Moritz Hermann Phil Blunsom LM&Ro 19 32 0 26 Oct 2017
Consequentialist conditional cooperation in social dilemmas with imperfect information A. Peysakhovich Adam Lerer 38 65 0 19 Oct 2017
Socially Compliant Navigation through Raw Depth Inputs with Generative Adversarial Imitation Learning L. Tai Jingwei Zhang Ming Liu Wolfram Burgard GAN 22 176 0 06 Oct 2017
Detecting Adversarial Attacks on Neural Network Policies with Visual Foresight Yen-Chen Lin Ming Liu Min Sun Jia-Bin Huang AAML 29 48 0 02 Oct 2017
Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces Garrett A. Warnell Nicholas R. Waytowich Vernon J. Lawhern Peter Stone 13 266 0 28 Sep 2017
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents Marlos C. Machado Marc G. Bellemare Erik Talvitie J. Veness Matthew J. Hausknecht Michael Bowling 35 544 0 18 Sep 2017
The Uncertainty Bellman Equation and Exploration Brendan O'Donoghue Ian Osband Rémi Munos Volodymyr Mnih 27 186 0 15 Sep 2017
Deep Reinforcement Learning with Surrogate Agent-Environment Interface Songli Wang Yutao Jing 20 1 0 12 Sep 2017
TensorFlow Agents: Efficient Batched Reinforcement Learning in TensorFlow Danijar Hafner James Davidson Vincent Vanhoucke OffRL 14 49 0 08 Sep 2017
Mean Actor Critic Cameron Allen Kavosh Asadi Melrose Roderick Abdel-rahman Mohamed George Konidaris Michael Littman 22 44 0 01 Sep 2017
Learning the Enigma with Recurrent Neural Networks S. Greydanus 32 39 0 24 Aug 2017
A Brief Survey of Deep Reinforcement Learning Kai Arulkumaran M. Deisenroth Miles Brundage Anil Anthony Bharath OffRL 62 2,776 0 19 Aug 2017
Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation Yuhuai Wu Elman Mansimov Shun Liao Roger C. Grosse Jimmy Ba OffRL 22 622 0 17 Aug 2017
An Information-Theoretic Optimality Principle for Deep Reinforcement Learning Felix Leibfried Jordi Grau-Moya Haitham Bou-Ammar 38 24 0 06 Aug 2017
The UMD Neural Machine Translation Systems at WMT17 Bandit Learning Task Amr Sharaf Shi Feng Khanh Nguyen Kianté Brantley Hal Daumé 16 4 0 03 Aug 2017
Grounding Language for Transfer in Deep Reinforcement Learning Karthik Narasimhan Regina Barzilay Tommi Jaakkola LM&Ro OffRL 27 25 0 01 Aug 2017
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning I. Higgins Arka Pal Andrei A. Rusu Loic Matthey Christopher P. Burgess Alexander Pritzel M. Botvinick Charles Blundell Alexander Lerchner DRL 43 410 0 26 Jul 2017
Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback Khanh Nguyen Hal Daumé Jordan L. Boyd-Graber 30 137 0 24 Jul 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 72 18,334 0 20 Jul 2017
Imagination-Augmented Agents for Deep Reinforcement Learning T. Weber S. Racanière David P. Reichert Lars Buesing A. Guez ... Razvan Pascanu Peter W. Battaglia Demis Hassabis David Silver Daan Wierstra LM&Ro 54 551 0 19 Jul 2017
On-line Building Energy Optimization using Deep Reinforcement Learning Elena Mocanu Decebal Constantin Mocanu Phuong H. Nguyen A. Liotta M. Webber M. Gibescu J. Slootweg OffRL 32 464 0 18 Jul 2017
Trial without Error: Towards Safe Reinforcement Learning via Human Intervention William Saunders Girish Sastry Andreas Stuhlmuller Owain Evans OffRL 24 229 0 17 Jul 2017
Distral: Robust Multitask Reinforcement Learning Yee Whye Teh V. Bapst Wojciech M. Czarnecki John Quan J. Kirkpatrick R. Hadsell N. Heess Razvan Pascanu 44 544 0 13 Jul 2017
Learning Macromanagement in StarCraft from Replays using Deep Learning Niels Justesen S. Risi 44 68 0 12 Jul 2017
SCAN: Learning Hierarchical Compositional Visual Concepts I. Higgins Nicolas Sonnerat Loic Matthey Arka Pal Christopher P. Burgess Matko Bosnjak Murray Shanahan M. Botvinick Demis Hassabis Alexander Lerchner OCL DRL CoGe 24 51 0 11 Jul 2017
Emergence of Locomotion Behaviours in Rich Environments N. Heess TB Dhruva S. Sriram Jay Lemmon J. Merel ... Tom Erez Ziyun Wang S. M. Ali Eslami Martin Riedmiller David Silver 143 928 0 07 Jul 2017
ELF: An Extensive, Lightweight and Flexible Research Platform for Real-time Strategy Games Yuandong Tian Qucheng Gong Wenling Shang Yuxin Wu C. L. Zitnick OffRL 27 126 0 04 Jul 2017
A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem Zhengyao Jiang Dixing Xu Jinjun Liang OOD 13 344 0 30 Jun 2017
Neural Sequence Model Training via $α$ -divergence Minimization Sotetsu Koyamada Yuta Kikuchi Atsunori Kanemura S. Maeda S. Ishii 65 0 0 30 Jun 2017
Neural SLAM: Learning to Explore with External Memory Jingwei Zhang L. Tai Ming Liu Joschka Boedecker Wolfram Burgard 22 71 0 29 Jun 2017
Count-Based Exploration in Feature Space for Reinforcement Learning Jarryd Martin S. N. Sasikumar Tom Everitt Marcus Hutter 24 122 0 25 Jun 2017
Observational Learning by Reinforcement Learning Diana Borsa Bilal Piot Rémi Munos Olivier Pietquin OffRL 25 45 0 20 Jun 2017
Grounded Language Learning in a Simulated 3D World Karl Moritz Hermann Felix Hill Simon Green Fumin Wang Ryan Faulkner ... Denis Teplyashin Marcus Wainwright C. Apps Demis Hassabis Phil Blunsom LM&Ro 11 305 0 20 Jun 2017
Dex: Incremental Learning for Complex Environments in Deep Reinforcement Learning Nick Erickson Qi Zhao CLL OffRL 210 2 0 19 Jun 2017
Value-Decomposition Networks For Cooperative Multi-Agent Learning P. Sunehag Guy Lever A. Gruslys Wojciech M. Czarnecki V. Zambaldi ... Marc Lanctot Nicolas Sonnerat Joel Z Leibo K. Tuyls T. Graepel 36 985 0 16 Jun 2017
Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics Ken Kansky Tom Silver David A. Mély Mohamed Eldawy Miguel Lazaro-Gredilla Xinghua Lou N. Dorfman Szymon Sidor Scott Phoenix Dileep George AI4CE 37 230 0 14 Jun 2017
Deep reinforcement learning from human preferences Paul Christiano Jan Leike Tom B. Brown Miljan Martic Shane Legg Dario Amodei 18 3,118 0 12 Jun 2017
Generalized Value Iteration Networks: Life Beyond Lattices Sufeng Niu Siheng Chen Hanyu Guo Colin Targonski M. C. Smith J. Kovacevic GNN 27 53 0 08 Jun 2017
The Atari Grand Challenge Dataset Vitaly Kurin Sebastian Nowozin Katja Hofmann Lucas Beyer Bastian Leibe OffRL 9 43 0 31 May 2017
End-to-end Active Object Tracking via Reinforcement Learning Wenhan Luo Peng Sun Fangwei Zhong Wei Liu Yadong Mu Yizhou Wang 36 82 0 30 May 2017
Constrained Policy Optimization Joshua Achiam David Held Aviv Tamar Pieter Abbeel 11 1,302 0 30 May 2017
Learning End-to-end Multimodal Sensor Policies for Autonomous Navigation Guan-Horng Liu Avinash Siravuru Sai P. Selvaraj Manuela Veloso George Kantor 10 69 0 30 May 2017
The Marginal Value of Adaptive Gradient Methods in Machine Learning Ashia Wilson Rebecca Roelofs Mitchell Stern Nathan Srebro Benjamin Recht ODL 20 1,013 0 23 May 2017