Title
RLlib: Abstractions for Distributed Reinforcement Learning Eric Liang Richard Liaw Philipp Moritz Robert Nishihara Roy Fox Ken Goldberg Joseph E. Gonzalez Michael I. Jordan Ion Stoica OffRL AI4CE 31 173 0 26 Dec 2017
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning F. Such Vashisht Madhavan Edoardo Conti Joel Lehman Kenneth O. Stanley Jeff Clune 47 686 0 18 Dec 2017
Ray: A Distributed Framework for Emerging AI Applications Philipp Moritz Robert Nishihara Stephanie Wang Alexey Tumanov Richard Liaw ... Melih Elibol Zongheng Yang William Paul Michael I. Jordan Ion Stoica GNN 30 1,228 0 16 Dec 2017
Multi-focus Attention Network for Efficient Deep Reinforcement Learning Jinyoung Choi Beom-Jin Lee Byoung-Tak Zhang 22 47 0 13 Dec 2017
Improved Learning in Evolution Strategies via Sparser Inter-Agent Network Topologies D. Adjodah D. Calacci Yan Leng P. Krafft Esteban Moro Egido Alex Pentland 16 2 0 30 Nov 2017
Distributional Reinforcement Learning with Quantile Regression Will Dabney Mark Rowland Marc G. Bellemare Rémi Munos 52 749 0 27 Oct 2017
Rainbow: Combining Improvements in Deep Reinforcement Learning Matteo Hessel Joseph Modayil H. V. Hasselt Tom Schaul Georg Ostrovski Will Dabney Dan Horgan Bilal Piot M. G. Azar David Silver OffRL 63 2,237 0 06 Oct 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 37 544 0 18 Sep 2017
Deep Learning for Video Game Playing Niels Justesen Philip Bontrager Julian Togelius S. Risi VLM 24 206 0 25 Aug 2017
A Brief Survey of Deep Reinforcement Learning Kai Arulkumaran M. Deisenroth Miles Brundage Anil Anthony Bharath OffRL 65 2,780 0 19 Aug 2017
Learning how to Active Learn: A Deep Reinforcement Learning Approach Meng Fang Yuan Li Trevor Cohn 16 282 0 08 Aug 2017
Grounding Language for Transfer in Deep Reinforcement Learning Karthik Narasimhan Regina Barzilay Tommi Jaakkola LM&Ro OffRL 35 25 0 01 Aug 2017
A Distributional Perspective on Reinforcement Learning Marc G. Bellemare Will Dabney Rémi Munos OffRL 50 1,484 0 21 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
Count-Based Exploration in Feature Space for Reinforcement Learning Jarryd Martin S. N. Sasikumar Tom Everitt Marcus Hutter 24 122 0 25 Jun 2017
Hybrid Reward Architecture for Reinforcement Learning H. V. Seijen Mehdi Fatemi Joshua Romoff Romain Laroche Tavian Barnes Jeffrey Tsang 12 252 0 13 Jun 2017
Atari games and Intel processors R. Adamski T. Grel Maciek Klimek Henryk Michalewski 11 5 0 19 May 2017
Efficient Parallel Methods for Deep Reinforcement Learning Alfredo V. Clemente Humberto Nicolás Castejón Martínez A. Chandra 17 114 0 13 May 2017
Stein Variational Policy Gradient Yang Liu Prajit Ramachandran Qiang Liu Jian-wei Peng 19 138 0 07 Apr 2017
Real-Time Machine Learning: The Missing Pieces Robert Nishihara Philipp Moritz Stephanie Wang Alexey Tumanov William Paul Johann Schleier-Smith Richard Liaw Mehrdad Niknami Michael I. Jordan Ion Stoica OffRL 35 64 0 11 Mar 2017
Surprise-Based Intrinsic Motivation for Deep Reinforcement Learning Joshua Achiam S. Shankar Sastry 40 235 0 06 Mar 2017
Learning Control for Air Hockey Striking using Deep Reinforcement Learning Ayal Taitler N. Shimkin 17 10 0 26 Feb 2017
Online Meta-learning by Parallel Algorithm Competition Stefan Elfwing E. Uchibe Kenji Doya 31 22 0 24 Feb 2017
Collaborative Deep Reinforcement Learning Kaixiang Lin Shu Wang Jiayu Zhou 21 20 0 19 Feb 2017
Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning Stefan Elfwing E. Uchibe Kenji Doya 24 1,668 0 10 Feb 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 106 1,505 0 25 Jan 2017
Combining Deep Reinforcement Learning and Safety Based Control for Autonomous Driving Xincheng Xiong Jianqiang Wang Fang Zhang Keqiang Li 34 66 0 01 Dec 2016
Nonparametric General Reinforcement Learning Jan Leike OffRL 41 26 0 28 Nov 2016
Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU Mohammad Babaeizadeh I. Frosio Stephen Tyree Jason Clemons Jan Kautz OffRL 28 258 0 18 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
Learning to Navigate in Complex Environments Piotr Wojciech Mirowski Razvan Pascanu Fabio Viola Hubert Soyer Andy Ballard ... Ross Goroshin Laurent Sifre Koray Kavukcuoglu D. Kumaran R. Hadsell 16 874 0 11 Nov 2016
Playing SNES in the Retro Learning Environment Nadav Bhonker Shai Rozenberg Itay Hubara 26 19 0 07 Nov 2016
Learning to Play in a Day: Faster Deep Reinforcement Learning by Optimality Tightening Frank S. He Yang Liu Alex Schwing Jian-wei Peng 26 84 0 05 Nov 2016
Learning Runtime Parameters in Computer Systems with Delayed Experience Injection Michael Schaarschmidt Felix Gessert Valentin Dalibard Eiko Yoneki 11 9 0 31 Oct 2016
Multi-Objective Deep Reinforcement Learning Hossam Mossalam Yannis Assael D. Roijers Shimon Whiteson 35 151 0 09 Oct 2016
Playing Atari Games with Deep Reinforcement Learning and Human Checkpoint Replay Ionel-Alexandru Hosu Traian Rebedea 29 97 0 18 Jul 2016
Deep Reinforcement Learning With Macro-Actions Ishan Durugkar Clemens Rosenbaum S. Dernbach Sridhar Mahadevan 17 23 0 15 Jun 2016
Deep Successor Reinforcement Learning Tejas D. Kulkarni A. Saeedi Simanta Gautam S. Gershman 32 208 0 08 Jun 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhehuai Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 146 18,268 0 27 May 2016
A Self-Taught Artificial Agent for Multi-Physics Computational Model Personalization Dominik Neumann Tommaso Mansi Lucian Itu Bogdan Georgescu E. Kayvanpour ... H. Katus B. Meder S. Steidl J. Hornegger Dorin Comaniciu AI4CE 8 24 0 01 May 2016
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation Tejas D. Kulkarni Karthik Narasimhan A. Saeedi J. Tenenbaum 25 1,127 0 20 Apr 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems Martín Abadi Ashish Agarwal P. Barham E. Brevdo Zhehuai Chen ... Pete Warden Martin Wattenberg Martin Wicke Yuan Yu Xiaoqiang Zheng 26 11,119 0 14 Mar 2016
Deep Exploration via Bootstrapped DQN Ian Osband Charles Blundell Alexander Pritzel Benjamin Van Roy 31 1,294 0 15 Feb 2016
Learning to Communicate to Solve Riddles with Deep Distributed Recurrent Q-Networks Jakob N. Foerster Yannis Assael Nando de Freitas Shimon Whiteson 21 147 0 08 Feb 2016
Graying the black box: Understanding DQNs Tom Zahavy Nir Ben-Zrihem Shie Mannor 35 262 0 08 Feb 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 64 8,767 0 04 Feb 2016
How to Discount Deep Reinforcement Learning: Towards New Dynamic Strategies Vincent François-Lavet R. Fonteneau D. Ernst 21 110 0 07 Dec 2015
Deep Attention Recurrent Q-Network Ivan Sorokin Alexey Seleznev Mikhail Pavlov A. Fedorov Anastasiia Ignateva 15 150 0 05 Dec 2015
Dueling Network Architectures for Deep Reinforcement Learning Ziyun Wang Tom Schaul Matteo Hessel H. V. Hasselt Marc Lanctot Nando de Freitas OffRL 29 3,727 0 20 Nov 2015