Rainbow: Combining Improvements in Deep Reinforcement Learning

6 October 2017

Dan Horgan

Bilal Piot

M. G. Azar

David Silver

OffRL

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Papers citing "Rainbow: Combining Improvements in Deep Reinforcement Learning"

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Title
rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch Adam Stooke Pieter Abbeel OffRL 24 96 0 03 Sep 2019
Interactive Language Learning by Question Answering Xingdi Yuan Marc-Alexandre Côté Jie Fu Zhouhan Lin C. Pal Yoshua Bengio Adam Trischler 13 46 0 28 Aug 2019
Deep reinforcement learning in World-Earth system models to discover sustainable management strategies Felix M. Strnad W. Barfuss J. Donges J. Heitzig 30 25 0 15 Aug 2019
Is Deep Reinforcement Learning Really Superhuman on Atari? Leveling the playing field Marin Toromanoff É. Wirbel Fabien Moutarde OffRL 24 25 0 13 Aug 2019
Efficient training and design of photonic neural network through neuroevolution Tian Zhang Jia Wang Yihang Dan Yuxiang Lanqiu Jian Dai Xu Han Xiaojuan Sun Kun Xu 29 50 0 04 Aug 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 22 218 0 29 Jul 2019
Google Research Football: A Novel Reinforcement Learning Environment Karol Kurach Anton Raichuk Piotr Stańczyk Michal Zajac Olivier Bachem ... C. Riquelme Damien Vincent Marcin Michalski Olivier Bousquet Sylvain Gelly 39 398 0 25 Jul 2019
Accelerating Reinforcement Learning through GPU Atari Emulation Steven Dalton I. Frosio M. Garland ELM 24 9 0 19 Jul 2019
Modified Actor-Critics Erinc Merdivan S. Hanke M. Geist 24 2 0 02 Jul 2019
Growing Action Spaces Gregory Farquhar Laura Gustafson Zeming Lin Shimon Whiteson Nicolas Usunier Gabriel Synnaeve 14 38 0 28 Jun 2019
Hyp-RL : Hyperparameter Optimization by Reinforcement Learning H. Jomaa Josif Grabocka Lars Schmidt-Thieme 25 65 0 27 Jun 2019
Modern Deep Reinforcement Learning Algorithms Sergey Ivanov A. Dýakonov OffRL 26 38 0 24 Jun 2019
Unsupervised Learning of Object Keypoints for Perception and Control Tejas D. Kulkarni Ankush Gupta Catalin Ionescu Sebastian Borgeaud Malcolm Reynolds Andrew Zisserman Volodymyr Mnih SSL OCL 14 193 0 19 Jun 2019
When to use parametric models in reinforcement learning? H. V. Hasselt Matteo Hessel John Aslanides 15 188 0 12 Jun 2019
Fast Task Inference with Variational Intrinsic Successor Features Steven Hansen Will Dabney André Barreto T. Wiele David Warde-Farley Volodymyr Mnih BDL 44 151 0 12 Jun 2019
Proximal Reliability Optimization for Reinforcement Learning Narendra Patwardhan Zequn Wang 18 0 0 03 Jun 2019
Unsupervised Model Selection for Variational Disentangled Representation Learning Sunny Duan Loic Matthey Andre Saraiva Nicholas Watters Christopher P. Burgess Alexander Lerchner I. Higgins OOD DRL 9 78 0 29 May 2019
AgentGraph: Towards Universal Dialogue Management with Structured Deep Reinforcement Learning Lu Chen Zhi Chen Bowen Tan Sishan Long Milica Gasic Kai Yu 19 35 0 27 May 2019
Ray Interference: a Source of Plateaus in Deep Reinforcement Learning Tom Schaul Diana Borsa Joseph Modayil Razvan Pascanu 16 63 0 25 Apr 2019
Teaching on a Budget in Multi-Agent Deep Reinforcement Learning Ercüment Ilhan Jeremy Gow Diego Perez-Liebana 27 35 0 19 Apr 2019
Bayesian policy selection using active inference Ozan Çatal J. Nauta Tim Verbelen Pieter Simoens Bart Dhoedt BDL 40 32 0 17 Apr 2019
Model-Free Reinforcement Learning for Financial Portfolios: A Brief Survey Yoshiharu Sato OffRL 24 32 0 10 Apr 2019
Using RGB Image as Visual Input for Mapless Robot Navigation Liulong Ma Yanjie Liu Jiao Chen SSL 39 17 0 24 Mar 2019
Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics Denis Steckelmacher Hélène Plisnier D. Roijers A. Nowé OffRL 23 17 0 11 Mar 2019
World Discovery Models M. G. Azar Bilal Piot Bernardo Avila-Pires Jean-Bastien Grill Florent Altché Rémi Munos 21 26 0 20 Feb 2019
Hyperbolic Discounting and Learning over Multiple Horizons W. Fedus Carles Gelada Yoshua Bengio Marc G. Bellemare Hugo Larochelle 32 105 0 19 Feb 2019
Deep Reinforcement Learning from Policy-Dependent Human Feedback Dilip Arumugam Jun Ki Lee S. Saskin Michael L. Littman 28 94 0 12 Feb 2019
Go-Explore: a New Approach for Hard-Exploration Problems Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune AI4TS 24 362 0 30 Jan 2019
Modularization of End-to-End Learning: Case Study in Arcade Games Andrew Melnik Sascha Fleer M. Schilling Helge J. Ritter OffRL 39 12 0 27 Jan 2019
Understanding Multi-Step Deep Reinforcement Learning: A Systematic Study of the DQN Target J. F. Hernandez-Garcia R. Sutton 19 61 0 22 Jan 2019
Creative AI Through Evolutionary Computation Risto Miikkulainen 19 18 0 12 Jan 2019
TD-Regularized Actor-Critic Methods Simone Parisi Voot Tangkaratt Jan Peters Mohammad Emtiyaz Khan OffRL 27 32 0 19 Dec 2018
Dopamine: A Research Framework for Deep Reinforcement Learning Pablo Samuel Castro Subhodeep Moitra Carles Gelada Saurabh Kumar Marc G. Bellemare OffRL 22 276 0 14 Dec 2018
Task-Free Continual Learning Rahaf Aljundi Klaas Kelchtermans Tinne Tuytelaars CLL 35 354 0 10 Dec 2018
Wireless Network Intelligence at the Edge Jihong Park S. Samarakoon M. Bennis Mérouane Debbah 21 518 0 07 Dec 2018
Mitigating Planner Overfitting in Model-Based Reinforcement Learning Dilip Arumugam David Abel Kavosh Asadi N. Gopalan Christopher Grimm Jun Ki Lee Lucas Lehnert Michael L. Littman 11 11 0 03 Dec 2018
An initial attempt of combining visual selective attention with deep reinforcement learning Liu Yuezhang Ruohan Zhang D. Ballard 16 20 0 11 Nov 2018
Applications of Deep Reinforcement Learning in Communications and Networking: A Survey Nguyen Cong Luong D. Hoang Shimin Gong Dusit Niyato Ping Wang Ying-Chang Liang Dong In Kim OffRL 57 1,423 0 18 Oct 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 43 551 0 12 Oct 2018
Combined Reinforcement Learning via Abstract Representations Vincent François-Lavet Yoshua Bengio Doina Precup Joelle Pineau OffRL 30 89 0 12 Sep 2018
RUDDER: Return Decomposition for Delayed Rewards Jose A. Arjona-Medina Michael Gillhofer Michael Widrich Thomas Unterthiner Johannes Brandstetter Sepp Hochreiter 30 212 0 20 Jun 2018
Sim-to-Real Reinforcement Learning for Deformable Object Manipulation J. Matas Stephen James Andrew J. Davison AI4CE 29 355 0 20 Jun 2018
Qualitative Measurements of Policy Discrepancy for Return-Based Deep Q-Network Wenjia Meng Qian Zheng L. Yang Pengfei Li Gang Pan 20 21 0 14 Jun 2018
Learning to Search in Long Documents Using Document Structure Mor Geva Jonathan Berant RALM 32 15 0 09 Jun 2018
Re-evaluating Evaluation David Balduzzi K. Tuyls Julien Perolat T. Graepel MoMe 30 97 0 07 Jun 2018
Fast Exploration with Simplified Models and Approximately Optimistic Planning in Model Based Reinforcement Learning Ramtin Keramati Jay Whang Patrick Cho Emma Brunskill OffRL 23 7 0 01 Jun 2018
Playing hard exploration games by watching YouTube Y. Aytar Tobias Pfaff David Budden T. Paine Ziyun Wang Nando de Freitas 35 269 0 29 May 2018
Meta-Gradient Reinforcement Learning Zhongwen Xu H. V. Hasselt David Silver 41 324 0 24 May 2018
Constrained Policy Improvement for Safe and Efficient Reinforcement Learning Elad Sarafian Aviv Tamar Sarit Kraus OffRL 32 11 0 20 May 2018
Deep Dynamical Modeling and Control of Unsteady Fluid Flows Jeremy Morton F. Witherden A. Jameson Mykel J. Kochenderfer AI4CE 21 161 0 18 May 2018