Prioritized Experience Replay

18 November 2015

David Silver

Papers citing "Prioritized Experience Replay"

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Title
Trajectory Optimization for Unknown Constrained Systems using Reinforcement Learning Keita Ota Devesh K. Jha Tomoaki Oiki Mamoru Miura Takashi Nammoto D. Nikovski T. Mariyama 35 26 0 13 Mar 2019
Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay Mohammad Rostami Soheil Kolouri Praveen K. Pilly CLL 22 67 0 11 Mar 2019
DeepPool: Distributed Model-free Algorithm for Ride-sharing using Deep Reinforcement Learning A. Al-Abbasi A. Ghosh Vaneet Aggarwal 18 145 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 30 60 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 29 51 0 28 Feb 2019
Introspection Learning Chris R. Serrano Michael A. Warren 24 0 0 27 Feb 2019
Diagnosing Bottlenecks in Deep Q-learning Algorithms Justin Fu Aviral Kumar Matthew Soh Sergey Levine OffRL 19 141 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 16 6 0 25 Feb 2019
Distributionally Robust Reinforcement Learning E. Smirnova Elvis Dohmatob Jérémie Mary OffRL 29 58 0 23 Feb 2019
Curiosity-Driven Experience Prioritization via Density Estimation Rui Zhao Volker Tresp 29 54 0 20 Feb 2019
DOM-Q-NET: Grounded RL on Structured Language Sheng Jia J. Kiros Jimmy Ba LM&Ro 22 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 18 31 0 15 Feb 2019
Source Traces for Temporal Difference Learning Silviu Pitis 17 16 0 08 Feb 2019
Metaoptimization on a Distributed System for Deep Reinforcement Learning Greg Heinrich I. Frosio OffRL 26 2 0 07 Feb 2019
The Actor-Advisor: Policy Gradient With Off-Policy Advice Hélène Plisnier Denis Steckelmacher D. Roijers A. Nowé CML OffRL 9 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 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
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 15 351 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 24 363 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 16 327 0 29 Jan 2019
Lyapunov-based Safe Policy Optimization for Continuous Control Yinlam Chow Ofir Nachum Aleksandra Faust Edgar A. Duénez-Guzmán Mohammad Ghavamzadeh 33 244 0 28 Jan 2019
Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift Carles Gelada Marc G. Bellemare OffRL 6 97 0 27 Jan 2019
Model-based Deep Reinforcement Learning for Dynamic Portfolio Optimization Pengqian Yu J. Lee Ilya Kulyatin Zekun Shi Sakyasingha Dasgupta 11 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 22 55 0 24 Jan 2019
Combinational Q-Learning for Dou Di Zhu Yang You Liangwei Li B. Guo Weiming Wang Cewu Lu OffRL 18 13 0 24 Jan 2019
Amplifying the Imitation Effect for Reinforcement Learning of UCAV's Mission Execution G. Lee Chang Ouk Kim 18 4 0 17 Jan 2019
Evolutionarily-Curated Curriculum Learning for Deep Reinforcement Learning Agents M. Green Benjamin Sergent P. Shandilya Vibhor Kumar 17 8 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 16 86 0 15 Jan 2019
Human-Like Autonomous Car-Following Model with Deep Reinforcement Learning Meixin Zhu X. Wang Yinhai Wang 19 403 0 03 Jan 2019
A Theoretical Analysis of Deep Q-Learning Jianqing Fan Zhuoran Yang Yuchen Xie Zhaoran Wang 28 596 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 27 775 0 31 Dec 2018
Learn to Interpret Atari Agents Zhao Yang S. Bai Li Zhang Philip Torr 22 28 0 29 Dec 2018
Iroko: A Framework to Prototype Reinforcement Learning for Data Center Traffic Control Fabian Ruffy Michael Przystupa Ivan Beschastnikh 27 31 0 24 Dec 2018
Information-Directed Exploration for Deep Reinforcement Learning Nikolay Nikolov Johannes Kirschner Felix Berkenkamp Andreas Krause 31 68 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 24 50 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 28 276 0 14 Dec 2018
Scaling shared model governance via model splitting Miljan Martic Jan Leike Andrew Trask Matteo Hessel Shane Legg Pushmeet Kohli FedML 25 2 0 14 Dec 2018
An Empirical Study of Example Forgetting during Deep Neural Network Learning Mariya Toneva Alessandro Sordoni Rémi Tachet des Combes Adam Trischler Yoshua Bengio Geoffrey J. Gordon 48 715 0 12 Dec 2018
Learning with Training Wheels: Speeding up Training with a Simple Controller for Deep Reinforcement Learning Linhai Xie Sen Wang Stefano Rosa Andrew Markham A. Trigoni OffRL 30 80 0 12 Dec 2018
Learning Montezuma's Revenge from a Single Demonstration Tim Salimans Richard J. Chen 42 136 0 08 Dec 2018
What is the Effect of Importance Weighting in Deep Learning? Jonathon Byrd Zachary Chase Lipton 19 456 0 08 Dec 2018
Measuring and Characterizing Generalization in Deep Reinforcement Learning Sam Witty Jun Ki Lee Emma Tosch Akanksha Atrey Michael Littman David D. Jensen OffRL 11 60 0 07 Dec 2018
Deep Reinforcement Learning and the Deadly Triad H. V. Hasselt Yotam Doron Florian Strub Matteo Hessel Nicolas Sonnerat Joseph Modayil OffRL 33 222 0 06 Dec 2018
Active Deep Q-learning with Demonstration Si-An Chen Voot Tangkaratt Hsuan-Tien Lin Masashi Sugiyama 18 32 0 06 Dec 2018
Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without Catastrophic Forgetting C. Atkinson B. McCane Lech Szymanski Anthony Robins VLM CLL 13 102 0 06 Dec 2018
Revisiting the Softmax Bellman Operator: New Benefits and New Perspective Zhao Song Ronald E. Parr Lawrence Carin 9 4 0 02 Dec 2018
Online Abstraction with MDP Homomorphisms for Deep Learning Ondrej Biza Robert Platt OffRL 29 21 0 30 Nov 2018
An Introduction to Deep Reinforcement Learning Vincent François-Lavet Peter Henderson Riashat Islam Marc G. Bellemare Joelle Pineau OffRL AI4CE 88 1,236 0 30 Nov 2018
Experience Replay for Continual Learning David Rolnick Arun Ahuja Jonathan Richard Schwarz Timothy Lillicrap Greg Wayne CLL 34 1,118 0 28 Nov 2018
Exploring Restart Distributions Arash Tavakoli Vitaly Levdik Riashat Islam Christopher M. Smith Petar Kormushev OffRL 16 5 0 27 Nov 2018