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
Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning Nat Dilokthanakul Christos Kaplanis Nick Pawlowski Murray Shanahan 24 91 0 18 May 2017
Probabilistically Safe Policy Transfer David Held Zoe McCarthy Michael Zhang Fred Shentu Pieter Abbeel 26 19 0 15 May 2017
Curiosity-driven Exploration by Self-supervised Prediction Deepak Pathak Pulkit Agrawal Alexei A. Efros Trevor Darrell LRM SSL 51 2,399 0 15 May 2017
Efficient Parallel Methods for Deep Reinforcement Learning Alfredo V. Clemente Humberto Nicolás Castejón Martínez A. Chandra 17 114 0 13 May 2017
Metacontrol for Adaptive Imagination-Based Optimization Jessica B. Hamrick A. J. Ballard Razvan Pascanu Oriol Vinyals N. Heess Peter W. Battaglia 27 69 0 07 May 2017
Toward Low-Flying Autonomous MAV Trail Navigation using Deep Neural Networks for Environmental Awareness Nikolai Smolyanskiy A. Kamenev Jeffrey Smith Stan Birchfield 41 222 0 07 May 2017
Traffic Light Control Using Deep Policy-Gradient and Value-Function Based Reinforcement Learning Seyed Sajad Mousavi Michael Schukat Enda Howley 23 304 0 28 Apr 2017
Mapping Instructions and Visual Observations to Actions with Reinforcement Learning Dipendra Kumar Misra John Langford Yoav Artzi 21 247 0 28 Apr 2017
General Video Game AI: Learning from Screen Capture Kamolwan Kunanusont Simon Lucas Diego Perez-Liebana 9 20 0 23 Apr 2017
Equivalence Between Policy Gradients and Soft Q-Learning John Schulman Xi Chen Pieter Abbeel OffRL 34 342 0 21 Apr 2017
Beating Atari with Natural Language Guided Reinforcement Learning Russell Kaplan Chris Sauer A. Sosa LM&Ro 19 69 0 18 Apr 2017
The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning A. Gruslys Will Dabney M. G. Azar Bilal Piot Marc G. Bellemare Rémi Munos 21 58 0 15 Apr 2017
Deep Reinforcement Learning-based Image Captioning with Embedding Reward Zhou Ren Xiaoyu Wang Ning Zhang Xutao Lv Li-Jia Li 34 324 0 12 Apr 2017
Data-efficient Deep Reinforcement Learning for Dexterous Manipulation I. Popov N. Heess Timothy Lillicrap Roland Hafner Gabriel Barth-Maron Matej Vecerík Thomas Lampe Yuval Tassa Tom Erez Martin Riedmiller OffRL 22 263 0 10 Apr 2017
Recurrent Environment Simulators Silvia Chiappa S. Racanière Daan Wierstra S. Mohamed 28 206 0 07 Apr 2017
Multiagent Bidirectionally-Coordinated Nets: Emergence of Human-level Coordination in Learning to Play StarCraft Combat Games Peng Peng Ying Wen Yaodong Yang Quan Yuan Zhenkun Tang Haitao Long Jun Wang 35 333 0 29 Mar 2017
Socially Aware Motion Planning with Deep Reinforcement Learning Yu Fan Chen Michael Everett Miao Liu Jonathan P. How 40 675 0 26 Mar 2017
Combining Neural Networks and Tree Search for Task and Motion Planning in Challenging Environments Chris Paxton Vasumathi Raman Gregory Hager Marin Kobilarov 24 123 0 22 Mar 2017
An End-to-End Approach to Natural Language Object Retrieval via Context-Aware Deep Reinforcement Learning Fan Wu Zhongwen Xu Yi Yang ObjD 34 11 0 22 Mar 2017
Learning to Navigate Cloth using Haptics Alexander Clegg Wenhao Yu Zackory M. Erickson Jie Tan Chenxi Liu Greg Turk 21 23 0 20 Mar 2017
Evolution Strategies as a Scalable Alternative to Reinforcement Learning Tim Salimans Jonathan Ho Xi Chen Szymon Sidor Ilya Sutskever 42 1,516 0 10 Mar 2017
Tactics of Adversarial Attack on Deep Reinforcement Learning Agents Yen-Chen Lin Zhang-Wei Hong Yuan-Hong Liao Meng-Li Shih Ming Liu Min Sun AAML 17 411 0 08 Mar 2017
Neural Episodic Control Alexander Pritzel Benigno Uria Sriram Srinivasan A. Badia Oriol Vinyals Demis Hassabis Daan Wierstra Charles Blundell OffRL BDL 35 345 0 06 Mar 2017
Surprise-Based Intrinsic Motivation for Deep Reinforcement Learning Joshua Achiam S. Shankar Sastry 34 235 0 06 Mar 2017
Learning What Data to Learn Yang Fan Fei Tian Tao Qin Jiang Bian Tie-Yan Liu 13 79 0 28 Feb 2017
Learning Control for Air Hockey Striking using Deep Reinforcement Learning Ayal Taitler N. Shimkin 15 10 0 26 Feb 2017
Online Meta-learning by Parallel Algorithm Competition Stefan Elfwing E. Uchibe Kenji Doya 31 22 0 24 Feb 2017
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning Briland Hitaj G. Ateniese Fernando Perez-Cruz FedML 55 1,378 0 24 Feb 2017
Active One-shot Learning Mark P. Woodward Chelsea Finn VLM OffRL 13 130 0 21 Feb 2017
Learning to Multi-Task by Active Sampling Sahil Sharma Ashutosh Jha Parikshit Hegde Balaraman Ravindran 18 21 0 20 Feb 2017
Wasserstein GAN Martín Arjovsky Soumith Chintala Léon Bottou GAN 78 4,809 0 26 Jan 2017
Learning Light Transport the Reinforced Way Ken Dahm A. Keller 16 62 0 25 Jan 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 104 1,503 0 25 Jan 2017
The Predictron: End-To-End Learning and Planning David Silver H. V. Hasselt Matteo Hessel Tom Schaul A. Guez ... Gabriel Dulac-Arnold David P. Reichert Neil C. Rabinowitz André Barreto T. Degris 23 289 0 28 Dec 2016
Loss is its own Reward: Self-Supervision for Reinforcement Learning Evan Shelhamer Parsa Mahmoudieh Max Argus Trevor Darrell SSL 24 186 0 21 Dec 2016
DeepMind Lab Charlie Beattie Joel Z Leibo Denis Teplyashin Tom Ward Marcus Wainwright ... Stephen Gaffney Helen King Demis Hassabis Shane Legg Stig Petersen 16 240 0 12 Dec 2016
Towards better decoding and language model integration in sequence to sequence models J. Chorowski Navdeep Jaitly 17 368 0 08 Dec 2016
Combining Deep Reinforcement Learning and Safety Based Control for Autonomous Driving Xincheng Xiong Jianqiang Wang Fang Zhang Keqiang Li 26 66 0 01 Dec 2016
Neural Combinatorial Optimization with Reinforcement Learning Irwan Bello Hieu H. Pham Quoc V. Le Mohammad Norouzi Samy Bengio 71 1,459 0 29 Nov 2016
Nonparametric General Reinforcement Learning Jan Leike OffRL 39 26 0 28 Nov 2016
Dense Captioning with Joint Inference and Visual Context L. Yang K. Tang Jianchao Yang Li-Jia Li VLM 30 169 0 21 Nov 2016
Local minima in training of neural networks G. Swirszcz Wojciech M. Czarnecki Razvan Pascanu ODL 37 73 0 19 Nov 2016
Reinforcement Learning with Unsupervised Auxiliary Tasks Max Jaderberg Volodymyr Mnih Wojciech M. Czarnecki Tom Schaul Joel Z Leibo David Silver Koray Kavukcuoglu SSL 13 1,222 0 16 Nov 2016
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning Haoran Tang Rein Houthooft Davis Foote Adam Stooke Xi Chen Yan Duan John Schulman F. Turck Pieter Abbeel OffRL 60 760 0 15 Nov 2016
How to scale distributed deep learning? Peter H. Jin Qiaochu Yuan F. Iandola Kurt Keutzer 3DH 27 136 0 14 Nov 2016
RL $^2$ : Fast Reinforcement Learning via Slow Reinforcement Learning Yan Duan John Schulman Xi Chen Peter L. Bartlett Ilya Sutskever Pieter Abbeel OffRL 35 1,007 0 09 Nov 2016
Q-Prop: Sample-Efficient Policy Gradient with An Off-Policy Critic S. Gu Timothy Lillicrap Zoubin Ghahramani Richard Turner Sergey Levine OffRL BDL 30 343 0 07 Nov 2016
Playing SNES in the Retro Learning Environment Nadav Bhonker Shai Rozenberg Itay Hubara 23 19 0 07 Nov 2016
Learning to Perform Physics Experiments via Deep Reinforcement Learning Misha Denil Pulkit Agrawal Tejas D. Kulkarni Tom Erez Peter W. Battaglia Nando de Freitas AI4CE 46 338 0 06 Nov 2016
Learning to Act by Predicting the Future Alexey Dosovitskiy V. Koltun 29 280 0 06 Nov 2016