Distributed Prioritized Experience Replay

2 March 2018

Dan Horgan

David Budden

David Silver

Papers citing "Distributed Prioritized Experience Replay"

50 / 373 papers shown

Title
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
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 32 178 0 09 Aug 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 54 398 0 25 Jul 2019
Variance Reduction in Actor Critic Methods (ACM) Eric Benhamou OffRL 18 143 0 23 Jul 2019
An Actor-Critic-Attention Mechanism for Deep Reinforcement Learning in Multi-view Environments Elaheh Barati Xuewen Chen 19 13 0 19 Jul 2019
Accelerating Reinforcement Learning through GPU Atari Emulation Steven Dalton I. Frosio M. Garland ELM 27 9 0 19 Jul 2019
Convolutional Reservoir Computing for World Models Hanten Chang K. Futagami 32 4 0 18 Jul 2019
Proximal Policy Optimization with Mixed Distributed Training Zhenyu Zhang Xiangfeng Luo Tong Liu Shaorong Xie Jianshu Wang Wei Wang Heng Chang Yan Peng OffRL 24 21 0 15 Jul 2019
Learning Safe Unlabeled Multi-Robot Planning with Motion Constraints Arbaaz Khan Chi Zhang Shuo Li J. Wu Brent Schlotfeldt Sarah Tang Alejandro Ribeiro Osbert Bastani Vijay Kumar 14 28 0 11 Jul 2019
On Inductive Biases in Deep Reinforcement Learning Matteo Hessel H. V. Hasselt Joseph Modayil David Silver AI4CE 27 41 0 05 Jul 2019
Modern Deep Reinforcement Learning Algorithms Sergey Ivanov A. Dýakonov OffRL 26 39 0 24 Jun 2019
A Deep Reinforcement Learning Approach for Global Routing Haiguang Liao Wentai Zhang Xuliang Dong Barnabás Póczós K. Shimada L. Kara 27 82 0 20 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
Boosting Soft Actor-Critic: Emphasizing Recent Experience without Forgetting the Past Che Wang Keith Ross 21 45 0 10 Jun 2019
Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning Mahmoud Assran Joshua Romoff Nicolas Ballas Joelle Pineau Michael G. Rabbat 30 32 0 09 Jun 2019
Prioritized Sequence Experience Replay Marc Brittain J. R. Bertram Xuxi Yang Peng Wei 34 44 0 25 May 2019
Combining Experience Replay with Exploration by Random Network Distillation Francesco Sovrano 24 15 0 18 May 2019
Optimizing Sequential Medical Treatments with Auto-Encoding Heuristic Search in POMDPs Luchen Li Matthieu Komorowski Aldo A. Faisal OffRL 29 13 0 17 May 2019
Learning and Exploiting Multiple Subgoals for Fast Exploration in Hierarchical Reinforcement Learning Libo Xing 16 4 0 13 May 2019
Learning Phase Competition for Traffic Signal Control Guanjie Zheng Yuanhao Xiong Xinshi Zang J. Feng Hua Wei Huichu Zhang Yong Li Kai Xu Z. Li 22 221 0 12 May 2019
Challenges of Real-World Reinforcement Learning Gabriel Dulac-Arnold D. Mankowitz Todd Hester OffRL 37 542 0 29 Apr 2019
Creating Pro-Level AI for a Real-Time Fighting Game Using Deep Reinforcement Learning In-Suk Oh Seungeun Rho Sangbin Moon Seongho Son Hyoil Lee Jinyun Chung 25 52 0 08 Apr 2019
Reinforcement Learning with Attention that Works: A Self-Supervised Approach Anthony Manchin Ehsan Abbasnejad Anton Van Den Hengel 30 60 0 06 Apr 2019
Failure-Scenario Maker for Rule-Based Agent using Multi-agent Adversarial Reinforcement Learning and its Application to Autonomous Driving Akifumi Wachi AAML 14 68 0 26 Mar 2019
Long Range Neural Navigation Policies for the Real World Ayzaan Wahid Alexander Toshev Marek Fiser T. Lee 24 17 0 23 Mar 2019
Towards Characterizing Divergence in Deep Q-Learning Joshua Achiam Ethan Knight Pieter Abbeel 27 96 0 21 Mar 2019
Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically Motivated Exploration Jingwei Zhang Niklas Wetzel Nicolai Dorka Joschka Boedecker Wolfram Burgard 13 26 0 18 Mar 2019
Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics Denis Steckelmacher Hélène Plisnier D. Roijers A. Nowé OffRL 26 17 0 11 Mar 2019
Asynchronous Episodic Deep Deterministic Policy Gradient: Towards Continuous Control in Computationally Complex Environments Zhizheng Zhang Jiale Chen Zhibo Chen Weiping Li OffRL 30 60 0 03 Mar 2019
Artificial Intelligence for Prosthetics - challenge solutions L. Kidzinski Carmichael F. Ong Sharada Mohanty Jennifer Hicks Sean F. Carroll ... E. Tumer J. Watson M. Salathé Sergey Levine Scott L. Delp 15 40 0 07 Feb 2019
Competitive Experience Replay Hao Liu Alexander R. Trott R. Socher Caiming Xiong OffRL 39 52 0 01 Feb 2019
TF-Replicator: Distributed Machine Learning for Researchers P. Buchlovsky David Budden Dominik Grewe Chris Jones John Aslanides ... Aidan Clark Sergio Gomez Colmenarejo Aedan Pope Fabio Viola Dan Belov GNN OffRL AI4CE 37 20 0 01 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
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
An investigation of model-free planning A. Guez M. Berk Mirza Karol Gregor Rishabh Kabra S. Racanière ... Laurent Orseau Tom Eccles Greg Wayne David Silver Timothy Lillicrap OffRL 30 111 0 11 Jan 2019
Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions Rui Wang Joel Lehman Jeff Clune Kenneth O. Stanley 47 241 0 07 Jan 2019
Learn to Interpret Atari Agents Zhao Yang S. Bai Li Zhang Philip Torr 22 28 0 29 Dec 2018
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents F. Such Vashisht Madhavan Rosanne Liu Rui Wang Pablo Samuel Castro ... Jiale Zhi Ludwig Schubert Marc G. Bellemare Jeff Clune Joel Lehman OffRL 27 54 0 17 Dec 2018
An Empirical Model of Large-Batch Training Sam McCandlish Jared Kaplan Dario Amodei OpenAI Dota Team 24 270 0 14 Dec 2018
Dopamine: A Research Framework for Deep Reinforcement Learning Pablo Samuel Castro Subhodeep Moitra Carles Gelada Saurabh Kumar Marc G. Bellemare OffRL 25 276 0 14 Dec 2018
Deep Reinforcement Learning and the Deadly Triad H. V. Hasselt Yotam Doron Florian Strub Matteo Hessel Nicolas Sonnerat Joseph Modayil OffRL 22 222 0 06 Dec 2018
Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures Junhui Yin Jiayan Qiu Csaba Szepesvári Siqing Zhang Avraham Ruderman Jiyang Xie Krishnamurthy Dvijotham Zhanyu Ma N. Heess Pushmeet Kohli AAML 15 80 0 04 Dec 2018
Macro action selection with deep reinforcement learning in StarCraft Sijia Xu Hongyu Kuang Zhi Zhuang Renjie Hu Yang Liu Huyang Sun 38 27 0 02 Dec 2018
Unsupervised Control Through Non-Parametric Discriminative Rewards David Warde-Farley T. Wiele Tejas D. Kulkarni Catalin Ionescu Steven Hansen Volodymyr Mnih DRL OffRL SSL 41 173 0 28 Nov 2018
PNS: Population-Guided Novelty Search for Reinforcement Learning in Hard Exploration Environments Qihao Liu Yujia Wang Xiao-Fei Liu 25 8 0 26 Nov 2018
Scalable agent alignment via reward modeling: a research direction Jan Leike David M. Krueger Tom Everitt Miljan Martic Vishal Maini Shane Legg 34 397 0 19 Nov 2018
Exploration by Random Network Distillation Yuri Burda Harrison Edwards Amos Storkey Oleg Klimov 60 1,298 0 30 Oct 2018
RLgraph: Modular Computation Graphs for Deep Reinforcement Learning Michael Schaarschmidt Sven Mika Kai Fricke Eiko Yoneki OffRL 23 5 0 21 Oct 2018
Deep Reinforcement Learning Yuxi Li VLM OffRL 28 144 0 15 Oct 2018
GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning Jacky Liang Viktor Makoviychuk Ankur Handa N. Chentanez Miles Macklin Dieter Fox AI4CE 27 182 0 12 Oct 2018