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Prioritized Experience Replay

18 November 2015

David Silver

Papers citing "Prioritized Experience Replay"

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Title
Reinforcement Learning with Probabilistic Guarantees for Autonomous Driving Maxime Bouton J. Karlsson A. Nakhaei K. Fujimura Mykel J. Kochenderfer Jana Tumova 79 69 0 15 Apr 2019
Learning to Navigate in Indoor Environments: from Memorizing to Reasoning Liulong Ma Yanjie Liu Jiao Chen Dong Jin 58 10 0 15 Apr 2019
Only Relevant Information Matters: Filtering Out Noisy Samples to Boost RL Yannis Flet-Berliac Philippe Preux 47 2 0 08 Apr 2019
Random Projection in Neural Episodic Control Daichi Nishio S. Yamane 52 2 0 03 Apr 2019
Autonomous Highway Driving using Deep Reinforcement Learning S. Nageshrao H. E. Tseng Dimitar Filev 75 106 0 29 Mar 2019
Towards Brain-inspired System: Deep Recurrent Reinforcement Learning for Simulated Self-driving Agent Jieneng Chen Jingye Chen Ruiming Zhang Xiaobin Hu 33 6 0 29 Mar 2019
Online Variance Reduction with Mixtures Zalan Borsos Sebastian Curi Kfir Y. Levy Andreas Krause 43 14 0 29 Mar 2019
TossingBot: Learning to Throw Arbitrary Objects with Residual Physics Andy Zeng Shuran Song Johnny Lee Alberto Rodriguez Thomas Funkhouser 139 384 0 27 Mar 2019
Failure-Scenario Maker for Rule-Based Agent using Multi-agent Adversarial Reinforcement Learning and its Application to Autonomous Driving Akifumi Wachi AAML 82 70 0 26 Mar 2019
Winning Isn't Everything: Enhancing Game Development with Intelligent Agents Yunqi Zhao Igor Borovikov Fernando de Mesentier Silva Ahmad Beirami J. Rupert ... Mohsen Sardari Long Lin S. Narravula Navid Aghdaie Kazi A. Zaman 48 42 0 25 Mar 2019
Truly Batch Apprenticeship Learning with Deep Successor Features Donghun Lee Srivatsan Srinivasan Finale Doshi-Velez OffRL OOD 76 36 0 24 Mar 2019
Using RGB Image as Visual Input for Mapless Robot Navigation Liulong Ma Yanjie Liu Jiao Chen SSL 102 17 0 24 Mar 2019
DQN with model-based exploration: efficient learning on environments with sparse rewards Stephen Gou Yuyang Liu 55 14 0 22 Mar 2019
Trajectory Optimization for Unknown Constrained Systems using Reinforcement Learning Keita Ota Devesh K. Jha Tomoaki Oiki Mamoru Miura Takashi Nammoto D. Nikovski T. Mariyama 62 27 0 13 Mar 2019
Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay Mohammad Rostami Soheil Kolouri Praveen K. Pilly CLL 136 70 0 11 Mar 2019
DeepPool: Distributed Model-free Algorithm for Ride-sharing using Deep Reinforcement Learning A. Al-Abbasi A. Ghosh Vaneet Aggarwal 68 153 0 09 Mar 2019
Asynchronous Episodic Deep Deterministic Policy Gradient: Towards Continuous Control in Computationally Complex Environments Zhizheng Zhang Jiale Chen Zhibo Chen Weiping Li OffRL 93 61 0 03 Mar 2019
Learning to Plan in High Dimensions via Neural Exploration-Exploitation Trees Binghong Chen Bo Dai Qinjie Lin Guo Ye Han Liu Le Song 117 52 0 28 Feb 2019
Introspection Learning Chris R. Serrano Michael A. Warren 41 0 0 27 Feb 2019
Diagnosing Bottlenecks in Deep Q-learning Algorithms Justin Fu Aviral Kumar Matthew Soh Sergey Levine OffRL 85 142 0 26 Feb 2019
Adversarial Reinforcement Learning under Partial Observability in Autonomous Computer Network Defence Yi Han David Hubczenko Paul Montague O. Vel Tamas Abraham Benjamin I. P. Rubinstein C. Leckie T. Alpcan S. Erfani AAML 70 6 0 25 Feb 2019
Distributionally Robust Reinforcement Learning E. Smirnova Elvis Dohmatob Jérémie Mary OffRL 68 60 0 23 Feb 2019
Curiosity-Driven Experience Prioritization via Density Estimation Rui Zhao Volker Tresp 136 55 0 20 Feb 2019
DOM-Q-NET: Grounded RL on Structured Language Sheng Jia J. Kiros Jimmy Ba LM&Ro 73 37 0 19 Feb 2019
Deep Reinforcement Learning Based High-level Driving Behavior Decision-making Model in Heterogeneous Traffic Zhengwei Bai B. Cai Shangguan Wei Linguo Chai 85 31 0 15 Feb 2019
Source Traces for Temporal Difference Learning Silviu Pitis 66 16 0 08 Feb 2019
Metaoptimization on a Distributed System for Deep Reinforcement Learning Greg Heinrich I. Frosio OffRL 28 2 0 07 Feb 2019
The Actor-Advisor: Policy Gradient With Off-Policy Advice Hélène Plisnier Denis Steckelmacher D. Roijers A. Nowé CML OffRL 27 6 0 07 Feb 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 55 42 0 07 Feb 2019
Competitive Experience Replay Hao Liu Alexander R. Trott R. Socher Caiming Xiong OffRL 128 53 0 01 Feb 2019
The Hanabi Challenge: A New Frontier for AI Research Nolan Bard Jakob N. Foerster A. Chandar Neil Burch Marc Lanctot ... Iain Dunning Shibl Mourad Hugo Larochelle Marc G. Bellemare Michael Bowling LLMAG 126 355 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 134 370 0 30 Jan 2019
Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving Meixin Zhu Yinhai Wang Ziyuan Pu Jingyun Hu X. Wang Ruimin Ke 91 335 0 29 Jan 2019
Lyapunov-based Safe Policy Optimization for Continuous Control Yinlam Chow Ofir Nachum Aleksandra Faust Edgar A. Duénez-Guzmán Mohammad Ghavamzadeh 108 247 0 28 Jan 2019
Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift Carles Gelada Marc G. Bellemare OffRL 76 99 0 27 Jan 2019
Model-based Deep Reinforcement Learning for Dynamic Portfolio Optimization Pengqian Yu J. Lee Ilya Kulyatin Zekun Shi Sakyasingha Dasgupta 74 64 0 25 Jan 2019
Distributed Learning of Decentralized Control Policies for Articulated Mobile Robots Guillaume Sartoretti William Paivine Yunfei Shi Yue Wu Howie Choset 54 55 0 24 Jan 2019
Combinational Q-Learning for Dou Di Zhu Yang You Liangwei Li B. Guo Weiming Wang Cewu Lu OffRL 61 13 0 24 Jan 2019
Amplifying the Imitation Effect for Reinforcement Learning of UCAV's Mission Execution G. Lee Chang Ouk Kim 33 4 0 17 Jan 2019
Evolutionarily-Curated Curriculum Learning for Deep Reinforcement Learning Agents M. Green Benjamin Sergent P. Shandilya Vibhor Kumar 61 7 0 16 Jan 2019
Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning Xuefeng Peng Yi Ding David Wihl Omer Gottesman Matthieu Komorowski Li-wei H. Lehman A. Ross A. Faisal Finale Doshi-Velez OffRL 70 88 0 15 Jan 2019
Human-Like Autonomous Car-Following Model with Deep Reinforcement Learning Meixin Zhu X. Wang Yinhai Wang 84 411 0 03 Jan 2019
A Theoretical Analysis of Deep Q-Learning Jianqing Fan Zhuoran Yang Yuchen Xie Zhaoran Wang 203 613 0 01 Jan 2019
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications Thanh Thi Nguyen Ngoc Duy Nguyen S. Nahavandi 142 796 0 31 Dec 2018
Learn to Interpret Atari Agents Zhao Yang S. Bai Li Zhang Philip Torr 80 29 0 29 Dec 2018
Iroko: A Framework to Prototype Reinforcement Learning for Data Center Traffic Control Fabian Ruffy Michael Przystupa Ivan Beschastnikh 48 31 0 24 Dec 2018
Information-Directed Exploration for Deep Reinforcement Learning Nikolay Nikolov Johannes Kirschner Felix Berkenkamp Andreas Krause 67 72 0 18 Dec 2018
A Survey of Safety and Trustworthiness of Deep Neural Networks: Verification, Testing, Adversarial Attack and Defence, and Interpretability Xiaowei Huang Daniel Kroening Wenjie Ruan Marta Kwiatkowska Youcheng Sun Emese Thamo Min Wu Xinping Yi AAML 132 51 0 18 Dec 2018
Dopamine: A Research Framework for Deep Reinforcement Learning Pablo Samuel Castro Subhodeep Moitra Carles Gelada Saurabh Kumar Marc G. Bellemare OffRL 86 279 0 14 Dec 2018
Scaling shared model governance via model splitting Miljan Martic Jan Leike Andrew Trask Matteo Hessel Shane Legg Pushmeet Kohli FedML 64 2 0 14 Dec 2018