Prioritized Experience Replay

18 November 2015

David Silver

Papers citing "Prioritized Experience Replay"

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Title
Adapting Behaviour for Learning Progress Tom Schaul Diana Borsa David Ding David Szepesvari Georg Ostrovski Will Dabney Simon Osindero 22 18 0 14 Dec 2019
The PlayStation Reinforcement Learning Environment (PSXLE) Carlos Purves Cătălina Cangea Petar Velickovic 14 3 0 12 Dec 2019
Efficient Robotic Task Generalization Using Deep Model Fusion Reinforcement Learning Tianying Wang Hao Zhang Wei Qi Toh Erik Cambria Cheston Tan Yan Wu Yong Liu Wei Jing 21 6 0 11 Dec 2019
Reinforcement Learning with Convolutional Reservoir Computing Hanten Chang K. Futagami 32 22 0 05 Dec 2019
Improving Policies via Search in Cooperative Partially Observable Games Adam Lerer Hengyuan Hu Jakob N. Foerster Noam Brown 27 78 0 05 Dec 2019
Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning Hengyuan Hu Jakob N. Foerster OffRL 24 82 0 04 Dec 2019
Distributed Soft Actor-Critic with Multivariate Reward Representation and Knowledge Distillation Dmitry Akimov 13 9 0 29 Nov 2019
Stigmergic Independent Reinforcement Learning for Multi-Agent Collaboration Xing Xu Rongpeng Li Zhifeng Zhao Honggang Zhang 36 24 0 28 Nov 2019
A selected review on reinforcement learning based control for autonomous underwater vehicles Yachu Hsu Hui Wu Keyou You Shiji Song 16 3 0 27 Nov 2019
Adversarial Deep Reinforcement Learning based Adaptive Moving Target Defense Taha Eghtesad Yevgeniy Vorobeychik Aron Laszka AAML 11 8 0 27 Nov 2019
Join Query Optimization with Deep Reinforcement Learning Algorithms Jonas Heitz Kurt Stockinger 19 16 0 26 Nov 2019
Biologically inspired architectures for sample-efficient deep reinforcement learning Pierre Harvey Richemond Arinbjorn Kolbeinsson Yike Guo 27 2 0 25 Nov 2019
Theory-based Causal Transfer: Integrating Instance-level Induction and Abstract-level Structure Learning Mark Edmonds Xiaojian Ma Siyuan Qi Yixin Zhu Hongjing Lu Song-Chun Zhu 26 25 0 25 Nov 2019
Which Channel to Ask My Question? Personalized Customer Service Request Stream Routing using Deep Reinforcement Learning Zining Liu Chong Long Xiaolu Lu Zehong Hu Jie Zhang Yafang Wang 11 9 0 24 Nov 2019
Neural Approximate Dynamic Programming for On-Demand Ride-Pooling Sanket Shah Meghna Lowalekar Pradeep Varakantham 10 79 0 20 Nov 2019
Placement Optimization of Aerial Base Stations with Deep Reinforcement Learning Jin Qiu Jiangbin Lyu Liqun Fu 19 28 0 19 Nov 2019
Gamma-Nets: Generalizing Value Estimation over Timescale Craig Sherstan Shibhansh Dohare J. MacGlashan J. Günther P. Pilarski 35 12 0 18 Nov 2019
Off-Policy Policy Gradient Algorithms by Constraining the State Distribution Shift Riashat Islam Komal K. Teru Deepak Sharma Joelle Pineau OffRL 8 8 0 16 Nov 2019
SMIX( $λ$ ): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement Learning Xinghu Yao Chao Wen Yuhui Wang Xiaoyang Tan 38 45 0 11 Nov 2019
Deep Reinforcement Learning Based Dynamic Trajectory Control for UAV-assisted Mobile Edge Computing Liang Wang Kezhi Wang Cunhua Pan Wenyuan Xu N. Aslam A. Nallanathan 27 187 0 10 Nov 2019
Hierarchical Reinforcement Learning Method for Autonomous Vehicle Behavior Planning Zhiqian Qiao Zachariah Tyree P. Mudalige J. Schneider John M. Dolan 17 32 0 09 Nov 2019
Experience Sharing Between Cooperative Reinforcement Learning Agents Lucas O. Souza G. Ramos C. Ralha 27 9 0 06 Nov 2019
Fully Parameterized Quantile Function for Distributional Reinforcement Learning Derek Yang Li Zhao Zichuan Lin Tao Qin Jiang Bian Tie-Yan Liu OOD OffRL 26 135 0 05 Nov 2019
An End-to-End Deep RL Framework for Task Arrangement in Crowdsourcing Platforms Caihua Shan N. Mamoulis Reynold Cheng Guoliang Li Xiang Li Yuqiu Qian OffRL 22 21 0 04 Nov 2019
Online Robustness Training for Deep Reinforcement Learning Marc Fischer M. Mirman Steven Stalder Martin Vechev OnRL 16 40 0 03 Nov 2019
Explicit Explore-Exploit Algorithms in Continuous State Spaces Mikael Henaff OffRL 22 31 0 01 Nov 2019
DeepLine: AutoML Tool for Pipelines Generation using Deep Reinforcement Learning and Hierarchical Actions Filtering Yuval Heffetz Roman Vainshtein Gilad Katz Lior Rokach 25 39 0 31 Oct 2019
Cascaded LSTMs based Deep Reinforcement Learning for Goal-driven Dialogue Yue Ma Xiaojie Wang Zhenjiang Dong Hong Chen BDL 22 2 0 31 Oct 2019
Deep Decentralized Reinforcement Learning for Cooperative Control Florian Köpf Samuel Tesfazgi M. Flad Sören Hohmann 26 2 0 29 Oct 2019
Task-Oriented Language Grounding for Language Input with Multiple Sub-Goals of Non-Linear Order Vladislav Kurenkov Bulat Maksudov Adil Khan 16 1 0 27 Oct 2019
ZPD Teaching Strategies for Deep Reinforcement Learning from Demonstrations Daniel Seita David M. Chan Roshan Rao Chen Tang Mandi Zhao John F. Canny 25 12 0 26 Oct 2019
Faster and Safer Training by Embedding High-Level Knowledge into Deep Reinforcement Learning Haodi Zhang Zihang Gao Yi Zhou Haotong Zhang Kaishun Wu Fangzhen Lin AI4CE 27 17 0 22 Oct 2019
Deep Reinforcement Learning Control of Quantum Cartpoles Zhikang T. Wang Yuto Ashida Masahito Ueda 16 40 0 21 Oct 2019
Explainable AI: Deep Reinforcement Learning Agents for Residential Demand Side Cost Savings in Smart Grids Hareesh Kumar P. Mammen K. Ramamritham 17 10 0 19 Oct 2019
Single Episode Policy Transfer in Reinforcement Learning Jiachen Yang Brenden K. Petersen H. Zha Daniel Faissol OOD OffRL 33 33 0 17 Oct 2019
Creativity in Robot Manipulation with Deep Reinforcement Learning Juan Vargas Malhar Bhoite A. Farimani 12 4 0 16 Oct 2019
On the Reduction of Variance and Overestimation of Deep Q-Learning Mohammed Sabry A. A. A. Khalifa OOD OffRL 16 12 0 14 Oct 2019
Autonomous Navigation via Deep Reinforcement Learning for Resource Constraint Edge Nodes using Transfer Learning Aqeel Anwar A. Raychowdhury 33 73 0 12 Oct 2019
Influence-Based Multi-Agent Exploration Tonghan Wang Jianhao Wang Yi Wu Chongjie Zhang 24 137 0 12 Oct 2019
Orchestrating the Development Lifecycle of Machine Learning-Based IoT Applications: A Taxonomy and Survey Bin Qian Jie Su Z. Wen D. N. Jha Yinhao Li ... Albert Y. Zomaya Omer F. Rana Lizhe Wang Maciej Koutny R. Ranjan 28 4 0 11 Oct 2019
Efficient Intrinsically Motivated Robotic Grasping with Learning-Adaptive Imagination in Latent Space Muhammad Burhan Hafez C. Weber Matthias Kerzel S. Wermter 19 15 0 10 Oct 2019
Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Dense and Sparse Reward Environments Vinicius G. Goecks Gregory M. Gremillion Vernon J. Lawhern J. Valasek Nicholas R. Waytowich OffRL 22 31 0 09 Oct 2019
A Dual-Hormone Closed-Loop Delivery System for Type 1 Diabetes Using Deep Reinforcement Learning Taiyu Zhu Kezhi Li Pantelis Georgiou OffRL 27 8 0 09 Oct 2019
Hierarchical Deep Double Q-Routing Ramy E. Ali B. Erman Ejder Bastug Bruce Cilli 11 17 0 09 Oct 2019
Learning Visual Affordances with Target-Orientated Deep Q-Network to Grasp Objects by Harnessing Environmental Fixtures Hengyue Liang Xibai Lou Yang Yang Changhyun Choi OOD 15 16 0 09 Oct 2019
Automatic Construction of Multi-layer Perceptron Network from Streaming Examples Mahardhika Pratama Choiru Za’in Andri Ashfahani Yew-Soon Ong Weiping Ding AI4CE 19 52 0 08 Oct 2019
Striving for Simplicity and Performance in Off-Policy DRL: Output Normalization and Non-Uniform Sampling Che Wang Yanqiu Wu Q. Vuong Keith Ross 24 6 0 05 Oct 2019
Relationship Explainable Multi-objective Optimization Via Vector Value Function Based Reinforcement Learning Huixin Zhan Yongcan Cao 21 7 0 02 Oct 2019
Accelerating Deep Learning by Focusing on the Biggest Losers Angela H. Jiang Daniel L.-K. Wong Giulio Zhou D. Andersen J. Dean ... Gauri Joshi M. Kaminsky M. Kozuch Zachary Chase Lipton Padmanabhan Pillai 21 119 0 02 Oct 2019
Reinforcement Learning for Multi-Objective Optimization of Online Decisions in High-Dimensional Systems Hardik Meisheri Vinita Baniwal Nazneen N. Sultana Balaraman Ravindran H. Khadilkar OffRL 16 1 0 01 Oct 2019