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Prioritized Experience Replay

18 November 2015

David Silver

Papers citing "Prioritized Experience Replay"

50 / 1,454 papers shown

Title
Risk-Aware High-level Decisions for Automated Driving at Occluded Intersections with Reinforcement Learning Danial Kamran Carlos Fernandez Lopez Martin Lauer Christoph Stiller 66 65 0 09 Apr 2020
CURL: Contrastive Unsupervised Representations for Reinforcement Learning A. Srinivas Michael Laskin Pieter Abbeel SSL DRL OffRL 148 1,097 0 08 Apr 2020
An Application of Deep Reinforcement Learning to Algorithmic Trading Thibaut Théate D. Ernst AIFin 97 167 0 07 Apr 2020
Ultrasound-Guided Robotic Navigation with Deep Reinforcement Learning Hannes Hase Mohammad Farid Azampour M. Tirindelli Magdalini Paschali Walter Simson E. Fatemizadeh Nassir Navab 68 38 0 30 Mar 2020
Learning medical triage from clinicians using Deep Q-Learning A. Buchard Baptiste Bouvier G. Prando R. Beard Michail Livieratos ... Yuanzhao Zhang Adam Baker Yura N. Perov Kostis Gourgoulias Saurabh Johri OffRL 32 3 0 28 Mar 2020
Modeling 3D Shapes by Reinforcement Learning Cheng Lin Tingxiang Fan Wenping Wang Matthias Nießner OffRL 3DV 68 37 0 27 Mar 2020
Towards Safer Self-Driving Through Great PAIN (Physically Adversarial Intelligent Networks) Piyush B. Gupta Demetris Coleman J. Siegel AAML 66 16 0 24 Mar 2020
Multi-Agent Reinforcement Learning for Problems with Combined Individual and Team Reward Hassam Sheikh Ladislau Bölöni 105 37 0 24 Mar 2020
Deep Reinforcement Learning with Weighted Q-Learning Andrea Cini Carlo DÉramo Jan Peters Cesare Alippi OffRL 55 9 0 20 Mar 2020
Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations Huan Zhang Hongge Chen Chaowei Xiao Yue Liu Mingyan D. Liu Duane S. Boning Cho-Jui Hsieh AAML 176 277 0 19 Mar 2020
Generating Socially Acceptable Perturbations for Efficient Evaluation of Autonomous Vehicles Songan Zhang H. Peng S. Nageshrao E. Tseng AAML 64 5 0 18 Mar 2020
Simultaneous Navigation and Radio Mapping for Cellular-Connected UAV with Deep Reinforcement Learning Yong Zeng Xiaoli Xu Shi Jin Rui Zhang 66 170 0 17 Mar 2020
DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction Aviral Kumar Abhishek Gupta Sergey Levine OffRL 90 102 0 16 Mar 2020
Deep Deterministic Portfolio Optimization Ayman Chaouki Stephen J. Hardiman Christian Schmidt Emmanuel Sérié J. D. Lataillade 51 19 0 13 Mar 2020
A Survey of End-to-End Driving: Architectures and Training Methods Ardi Tampuu Maksym Semikin Naveed Muhammad D. Fishman Tambet Matiisen 3DV 117 238 0 13 Mar 2020
Application of Deep Q-Network in Portfolio Management Ziming Gao Yuan Gao Yitao Hu Zhengyong Jiang Jionglong Su AIFin 83 52 0 13 Mar 2020
Sample Efficient Reinforcement Learning through Learning from Demonstrations in Minecraft Christian Scheller Yanick Schraner Manfred Vogel 84 27 0 12 Mar 2020
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey Sanmit Narvekar Bei Peng Matteo Leonetti Jivko Sinapov Matthew E. Taylor Peter Stone ODL 246 486 0 10 Mar 2020
Automatic Curriculum Learning For Deep RL: A Short Survey Rémy Portelas Cédric Colas Lilian Weng Katja Hofmann Pierre-Yves Oudeyer ODL 122 176 0 10 Mar 2020
Learning Discrete State Abstractions With Deep Variational Inference Ondrej Biza Robert Platt Jan-Willem van de Meent Lawson L. S. Wong BDL 81 12 0 09 Mar 2020
Deep Adversarial Reinforcement Learning for Object Disentangling Melvin Laux Oleg Arenz Jan Peters Joni Pajarinen DRL 48 3 0 08 Mar 2020
Validation of Image-Based Neural Network Controllers through Adaptive Stress Testing Kyle D. Julian Ritchie Lee Mykel J. Kochenderfer 60 33 0 05 Mar 2020
Dynamic Experience Replay Jieliang Luo Hui Li 215 24 0 04 Mar 2020
Dynamic Queue-Jump Lane for Emergency Vehicles under Partially Connected Settings: A Multi-Agent Deep Reinforcement Learning Approach Haoran Su Kejian Shi Joseph Y. J. Chow Li Jin 35 0 0 02 Mar 2020
On Catastrophic Interference in Atari 2600 Games W. Fedus Dibya Ghosh John D. Martin Marc G. Bellemare Yoshua Bengio Hugo Larochelle 84 27 0 28 Feb 2020
Autonomous robotic nanofabrication with reinforcement learning Philipp Leinen Malte Esders Kristof T. Schütt C. Wagner K. Müller F. Tautz 39 55 0 27 Feb 2020
Review, Analysis and Design of a Comprehensive Deep Reinforcement Learning Framework Ngoc Duy Nguyen Thanh Thi Nguyen Hai V. Nguyen Doug Creighton S. Nahavandi 169 4 0 27 Feb 2020
A Visual Communication Map for Multi-Agent Deep Reinforcement Learning Ngoc Duy Nguyen Thanh Thi Nguyen Doug Creighton S. Nahavandi 46 5 0 27 Feb 2020
Improving BERT Fine-Tuning via Self-Ensemble and Self-Distillation Yige Xu Xipeng Qiu L. Zhou Xuanjing Huang 83 68 0 24 Feb 2020
How Transferable are the Representations Learned by Deep Q Agents? Jacob Tyo Zachary Chase Lipton OffRL 65 6 0 24 Feb 2020
Learning to Continually Learn Shawn L. E. Beaulieu Lapo Frati Thomas Miconi Joel Lehman Kenneth O. Stanley Jeff Clune Nick Cheney KELM CLL 105 148 0 21 Feb 2020
Learning Dynamic Belief Graphs to Generalize on Text-Based Games Ashutosh Adhikari Xingdi Yuan Marc-Alexandre Côté M. Zelinka Marc-Antoine Rondeau Romain Laroche Pascal Poupart Jian Tang Adam Trischler William L. Hamilton AI4CE 97 81 0 21 Feb 2020
Informative Path Planning for Mobile Sensing with Reinforcement Learning Yongyong Wei Rong Zheng 81 34 0 18 Feb 2020
Adaptive Experience Selection for Policy Gradient S. Mohamad Giovanni Montana 106 0 0 17 Feb 2020
Reinforcement learning for the privacy preservation and manipulation of eye tracking data Wolfgang Fuhl Efe Bozkir Enkelejda Kasneci 60 1 0 17 Feb 2020
Investigating Simple Object Representations in Model-Free Deep Reinforcement Learning Guy Davidson Brenden M. Lake OCL OffRL 41 10 0 16 Feb 2020
R-MADDPG for Partially Observable Environments and Limited Communication Rose E. Wang M. Everett Jonathan P. How 64 88 0 16 Feb 2020
First Order Constrained Optimization in Policy Space Yiming Zhang Q. Vuong George Andriopoulos 46 4 0 16 Feb 2020
Never Give Up: Learning Directed Exploration Strategies Adria Puigdomenech Badia Pablo Sprechmann Alex Vitvitskyi Daniel Guo Bilal Piot ... O. Tieleman Martín Arjovsky Alexander Pritzel Andew Bolt Charles Blundell 83 301 0 14 Feb 2020
Frequency-based Search-control in Dyna Yangchen Pan Jincheng Mei Amir-massoud Farahmand 51 15 0 14 Feb 2020
XCS Classifier System with Experience Replay Anthony Stein Roland Maier Lukas Rosenbauer J. Hähner BDL 35 21 0 13 Feb 2020
Improving Generalization of Reinforcement Learning with Minimax Distributional Soft Actor-Critic Yangang Ren Jingliang Duan Shengbo Eben Li Yang Guan Qi Sun OffRL 55 30 0 13 Feb 2020
Fast Reinforcement Learning for Anti-jamming Communications P. Ye Yuan-Gen Wang Jin Li Liang Xiao 62 5 0 13 Feb 2020
Robot Navigation with Map-Based Deep Reinforcement Learning Guangda Chen Lifan Pan Yuán Chen Pei Xu Zhiqiang Wang Peichen Wu Jianmin Ji Xiaoping Chen 81 29 0 11 Feb 2020
Accelerating Reinforcement Learning for Reaching using Continuous Curriculum Learning Sha Luo Hamidreza Kasaei Lambert Schomaker CLL 92 46 0 07 Feb 2020
Mutual Information-based State-Control for Intrinsically Motivated Reinforcement Learning Rui Zhao Yang Gao Pieter Abbeel Volker Tresp Wenyuan Xu SSL 62 4 0 05 Feb 2020
Bootstrapping a DQN Replay Memory with Synthetic Experiences Wenzel Pilar von Pilchau Anthony Stein J. Hähner OffRL 48 10 0 04 Feb 2020
Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations S. Sreedharan Utkarsh Soni Mudit Verma Siddharth Srivastava S. Kambhampati 132 31 0 04 Feb 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 367 1,710 0 02 Feb 2020
Stacked Auto Encoder Based Deep Reinforcement Learning for Online Resource Scheduling in Large-Scale MEC Networks Feibo Jiang Kezhi Wang Li Dong Cunhua Pan Kun Yang OffRL 60 39 0 24 Jan 2020