Prioritized Experience Replay

18 November 2015

David Silver

Papers citing "Prioritized Experience Replay"

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Title
Distributed traffic light control at uncoupled intersections with real-world topology by deep reinforcement learning Mark Schutera Niklas Goby S. Smolarek Markus Reischl 21 7 0 27 Nov 2018
Learning with Stochastic Guidance for Navigation Linhai Xie Yishu Miao Sen Wang Phil Blunsom Zhihua Wang Changhao Chen Andrew Markham A. Trigoni BDL 9 2 0 27 Nov 2018
An Off-policy Policy Gradient Theorem Using Emphatic Weightings Ehsan Imani Eric Graves Martha White OffRL 25 71 0 22 Nov 2018
Urban Driving with Multi-Objective Deep Reinforcement Learning Changjian Li Krzysztof Czarnecki 15 72 0 21 Nov 2018
Analysing Results from AI Benchmarks: Key Indicators and How to Obtain Them Fernando Martínez-Plumed José Hernández-Orallo 17 39 0 20 Nov 2018
Reinforcement Learning with A* and a Deep Heuristic A. Keselman S. Ten A. Ghazali Majed Jubeh 11 14 0 19 Nov 2018
Reward learning from human preferences and demonstrations in Atari Borja Ibarz Jan Leike Tobias Pohlen G. Irving Shane Legg Dario Amodei 33 387 0 15 Nov 2018
Importance Weighted Evolution Strategies Victor Campos Xavier Giró-i-Nieto Jordi Torres 27 1 0 12 Nov 2018
Baselines for Reinforcement Learning in Text Games Mikuláš Zelinka 6 6 0 07 Nov 2018
Managing engineering systems with large state and action spaces through deep reinforcement learning Varun Chandrasekaran K. Papakonstantinou AI4CE 16 161 0 05 Nov 2018
SDRL: Interpretable and Data-efficient Deep Reinforcement Learning Leveraging Symbolic Planning Daoming Lyu Fangkai Yang Bo Liu Steven M. Gustafson OffRL 11 150 0 31 Oct 2018
Relative Importance Sampling For Off-Policy Actor-Critic in Deep Reinforcement Learning Mahammad Humayoo Xueqi Cheng BDL OffRL 19 5 0 30 Oct 2018
Deep Intrinsically Motivated Continuous Actor-Critic for Efficient Robotic Visuomotor Skill Learning Muhammad Burhan Hafez C. Weber Matthias Kerzel S. Wermter 11 22 0 26 Oct 2018
Differential Variable Speed Limits Control for Freeway Recurrent Bottlenecks via Deep Reinforcement learning Yuankai Wu Huachun Tan B. Ran AI4CE 29 17 0 25 Oct 2018
Reconciling $λ$ -Returns with Experience Replay Brett Daley Chris Amato 19 4 0 23 Oct 2018
Optimization of Molecules via Deep Reinforcement Learning Zhenpeng Zhou S. Kearnes Li Li R. Zare Patrick F. Riley AI4CE 29 533 0 19 Oct 2018
Fast deep reinforcement learning using online adjustments from the past Steven Hansen Pablo Sprechmann Alexander Pritzel André Barreto Charles Blundell TTA OffRL OnRL 18 42 0 18 Oct 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 1,424 0 18 Oct 2018
Reinforcement Learning Decoders for Fault-Tolerant Quantum Computation R. Sweke Markus S. Kesselring E. van Nieuwenburg Jens Eisert AI4CE LRM 27 107 0 16 Oct 2018
Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning David Janz Jiri Hron Przemysław Mazur Katja Hofmann José Miguel Hernández-Lobato Sebastian Tschiatschek 57 49 0 15 Oct 2018
Deep Reinforcement Learning Yuxi Li VLM OffRL 28 144 0 15 Oct 2018
Learning to Sketch with Deep Q Networks and Demonstrated Strokes Tao Zhou Chen Fang Zhaowen Wang Jimei Yang Byungmoon Kim Zhili Chen Jonathan Brandt Demetri Terzopoulos 25 7 0 14 Oct 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 48 553 0 12 Oct 2018
Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space Jiechao Xiong Qing Wang Zhuoran Yang Peng Sun Lei Han Yang Zheng Haobo Fu Tong Zhang Ji Liu Han Liu 37 169 0 10 Oct 2018
Discovering General-Purpose Active Learning Strategies Ksenia Konyushkova Raphael Sznitman Pascal Fua 30 33 0 09 Oct 2018
Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks Fabio Pardo Vitaly Levdik Petar Kormushev 25 4 0 06 Oct 2018
PPO-CMA: Proximal Policy Optimization with Covariance Matrix Adaptation Perttu Hämäläinen Amin Babadi Xiaoxiao Ma J. Lehtinen 32 62 0 05 Oct 2018
Energy-Based Hindsight Experience Prioritization Rui Zhao Volker Tresp 19 74 0 02 Oct 2018
Learning through Probing: a decentralized reinforcement learning architecture for social dilemmas Nicolas Anastassacos Mirco Musolesi 27 3 0 26 Sep 2018
Hierarchical Deep Multiagent Reinforcement Learning with Temporal Abstraction Hongyao Tang Jianye Hao Tangjie Lv Yingfeng Chen Zongzhang Zhang ... Chunxu Ren Yan Zheng Zhaopeng Meng Changjie Fan Li Wang OffRL 17 23 0 25 Sep 2018
Low Precision Policy Distillation with Application to Low-Power, Real-time Sensation-Cognition-Action Loop with Neuromorphic Computing J. McKinstry D. Barch Deepika Bablani M. DeBole S. K. Esser J. Kusnitz John V. Arthur D. Modha OffRL 26 5 0 25 Sep 2018
Dynamic Weights in Multi-Objective Deep Reinforcement Learning Axel Abels D. Roijers Tom Lenaerts A. Nowé Denis Steckelmacher OffRL 11 157 0 20 Sep 2018
Automata Guided Reinforcement Learning With Demonstrations Xiao Li Yao Ma C. Belta OffRL 30 11 0 17 Sep 2018
Improvements on Hindsight Learning Ameet Deshpande Srikanth Sarma Ashutosh Jha Balaraman Ravindran OffRL 21 3 0 16 Sep 2018
Deep Learning with Experience Ranking Convolutional Neural Network for Robot Manipulator Hai V. Nguyen Hung M. La M. Deans SSL OffRL 12 8 0 16 Sep 2018
Sampled Policy Gradient for Learning to Play the Game Agar.io A. Wiehe Nil Stolt Ansó Mădălina M. Drugan M. Wiering OffRL OnRL 6 6 0 15 Sep 2018
PRIMAL: Pathfinding via Reinforcement and Imitation Multi-Agent Learning Guillaume Sartoretti Justin Kerr Yunfei Shi Glenn Wagner T. K. S. Kumar Sven Koenig Howie Choset 39 310 0 10 Sep 2018
Adaptive Behavior Generation for Autonomous Driving using Deep Reinforcement Learning with Compact Semantic States Peter Wolf Karl Kurzer Tobias Wingert Florian Kuhnt Johann Marius Zöllner 30 55 0 10 Sep 2018
Neural Guided Constraint Logic Programming for Program Synthesis Lisa Zhang Gregory Rosenblatt Ethan Fetaya Renjie Liao William E. Byrd M. Might R. Urtasun R. Zemel NAI 11 30 0 08 Sep 2018
Challenges of Context and Time in Reinforcement Learning: Introducing Space Fortress as a Benchmark Akshat Agarwal Ryan Hope Katia Sycara OffRL 13 9 0 06 Sep 2018
ARCHER: Aggressive Rewards to Counter bias in Hindsight Experience Replay Sameera Lanka Tianfu Wu 28 30 0 06 Sep 2018
Sample-Efficient Imitation Learning via Generative Adversarial Nets Lionel Blondé Alexandros Kalousis GAN 16 47 0 06 Sep 2018
Goal-oriented Dialogue Policy Learning from Failures Keting Lu Shiqi Zhang Xiaoping Chen OffRL 20 29 0 20 Aug 2018
Reinforcement Learning for Autonomous Defence in Software-Defined Networking Yi Han Benjamin I. P. Rubinstein Tamas Abraham T. Alpcan O. Vel S. Erfani David Hubczenko C. Leckie Paul Montague AAML 22 68 0 17 Aug 2018
Small Sample Learning in Big Data Era Jun Shu Zongben Xu Deyu Meng 31 71 0 14 Aug 2018
A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security M. Al-garadi Amr M. Mohamed A. Al-Ali Xiaojiang Du Mohsen Guizani 29 804 0 29 Jul 2018
FuzzerGym: A Competitive Framework for Fuzzing and Learning W. Drozd Michael D. Wagner 33 32 0 19 Jul 2018
Discrete linear-complexity reinforcement learning in continuous action spaces for Q-learning algorithms P. Tavallali G. Doran L. Mandrake 10 0 0 16 Jul 2018
Remember and Forget for Experience Replay G. Novati Petros Koumoutsakos OffRL 37 90 0 16 Jul 2018
Temporal Difference Learning with Neural Networks - Study of the Leakage Propagation Problem Hugo Penedones Damien Vincent Hartmut Maennel Sylvain Gelly Timothy A. Mann André Barreto AAML 9 7 0 09 Jul 2018