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Prioritized Experience Replay

18 November 2015

David Silver

Papers citing "Prioritized Experience Replay"

50 / 1,454 papers shown

Title
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 254 745 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 99 80 0 12 Dec 2018
Learning Montezuma's Revenge from a Single Demonstration Tim Salimans Richard J. Chen 129 139 0 08 Dec 2018
What is the Effect of Importance Weighting in Deep Learning? Jonathon Byrd Zachary Chase Lipton 167 467 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 68 61 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 115 232 0 06 Dec 2018
Active Deep Q-learning with Demonstration Si-An Chen Voot Tangkaratt Hsuan-Tien Lin Masashi Sugiyama 48 33 0 06 Dec 2018
Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without Catastrophic Forgetting C. Atkinson B. McCane Lech Szymanski Anthony Robins VLM CLL 83 104 0 06 Dec 2018
Revisiting the Softmax Bellman Operator: New Benefits and New Perspective Zhao Song Ronald E. Parr Lawrence Carin 55 4 0 02 Dec 2018
Online Abstraction with MDP Homomorphisms for Deep Learning Ondrej Biza Robert Platt OffRL 73 23 0 30 Nov 2018
An Introduction to Deep Reinforcement Learning Vincent François-Lavet Peter Henderson Riashat Islam Marc G. Bellemare Joelle Pineau OffRL AI4CE 175 1,279 0 30 Nov 2018
Experience Replay for Continual Learning David Rolnick Arun Ahuja Jonathan Richard Schwarz Timothy Lillicrap Greg Wayne CLL 153 1,179 0 28 Nov 2018
Exploring Restart Distributions Arash Tavakoli Vitaly Levdik Riashat Islam Christopher M. Smith Petar Kormushev OffRL 35 5 0 27 Nov 2018
Distributed traffic light control at uncoupled intersections with real-world topology by deep reinforcement learning Mark Schutera Niklas Goby S. Smolarek Markus Reischl 33 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 26 2 0 27 Nov 2018
An Off-policy Policy Gradient Theorem Using Emphatic Weightings Ehsan Imani Eric Graves Martha White OffRL 100 71 0 22 Nov 2018
Urban Driving with Multi-Objective Deep Reinforcement Learning Changjian Li Krzysztof Czarnecki 80 73 0 21 Nov 2018
Analysing Results from AI Benchmarks: Key Indicators and How to Obtain Them Fernando Martínez-Plumed José Hernández-Orallo 45 39 0 20 Nov 2018
Reinforcement Learning with A* and a Deep Heuristic A. Keselman S. Ten A. Ghazali Majed Jubeh 59 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 131 398 0 15 Nov 2018
Importance Weighted Evolution Strategies Victor Campos Xavier Giró-i-Nieto Jordi Torres 46 1 0 12 Nov 2018
Baselines for Reinforcement Learning in Text Games Mikuláš Zelinka 31 6 0 07 Nov 2018
Managing engineering systems with large state and action spaces through deep reinforcement learning Varun Chandrasekaran K. Papakonstantinou AI4CE 80 164 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 100 152 0 31 Oct 2018
Relative Importance Sampling For Off-Policy Actor-Critic in Deep Reinforcement Learning Mahammad Humayoo Xueqi Cheng BDL OffRL 47 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 49 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 43 17 0 25 Oct 2018
Reconciling $λ$ -Returns with Experience Replay Brett Daley Chris Amato 64 4 0 23 Oct 2018
Optimization of Molecules via Deep Reinforcement Learning Zhenpeng Zhou S. Kearnes Li Li R. Zare Patrick F. Riley AI4CE 160 545 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 82 43 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 110 1,447 0 18 Oct 2018
Reinforcement Learning Decoders for Fault-Tolerant Quantum Computation R. Sweke Markus S. Kesselring E. van Nieuwenburg Jens Eisert AI4CE LRM 74 111 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 163 52 0 15 Oct 2018
Deep Reinforcement Learning Yuxi Li VLM OffRL 194 144 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 99 7 0 14 Oct 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 121 570 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 70 173 0 10 Oct 2018
Discovering General-Purpose Active Learning Strategies Ksenia Konyushkova Raphael Sznitman Pascal Fua 100 35 0 09 Oct 2018
Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks Fabio Pardo Vitaly Levdik Petar Kormushev 57 4 0 06 Oct 2018
PPO-CMA: Proximal Policy Optimization with Covariance Matrix Adaptation Perttu Hämäläinen Amin Babadi Xiaoxiao Ma J. Lehtinen 120 64 0 05 Oct 2018
Energy-Based Hindsight Experience Prioritization Rui Zhao Volker Tresp 180 74 0 02 Oct 2018
Learning through Probing: a decentralized reinforcement learning architecture for social dilemmas Nicolas Anastassacos Mirco Musolesi 40 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 48 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 85 5 0 25 Sep 2018
Dynamic Weights in Multi-Objective Deep Reinforcement Learning Axel Abels D. Roijers Tom Lenaerts A. Nowé Denis Steckelmacher OffRL 92 164 0 20 Sep 2018
Automata Guided Reinforcement Learning With Demonstrations Xiao Li Yao Ma C. Belta OffRL 75 11 0 17 Sep 2018
Improvements on Hindsight Learning Ameet Deshpande Srikanth Sarma Ashutosh Jha Balaraman Ravindran OffRL 48 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 38 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 37 8 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 140 321 0 10 Sep 2018