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Prioritized Experience Replay

18 November 2015

David Silver

Papers citing "Prioritized Experience Replay"

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Title
Nested-Wasserstein Self-Imitation Learning for Sequence Generation Ruiyi Zhang Changyou Chen Zhe Gan Zheng Wen Wenlin Wang Lawrence Carin 76 7 0 20 Jan 2020
Continuous-action Reinforcement Learning for Playing Racing Games: Comparing SPG to PPO Mario S. Holubar M. Wiering 50 10 0 15 Jan 2020
Deep Reinforcement Learning for Complex Manipulation Tasks with Sparse Feedback Binyamin Manela 37 0 0 12 Jan 2020
Deep Interactive Reinforcement Learning for Path Following of Autonomous Underwater Vehicle Qilei Zhang Jinying Lin Q. Sha Bo He Guangliang Li 48 72 0 10 Jan 2020
Towards Neural-Guided Program Synthesis for Linear Temporal Logic Specifications Alberto Camacho Sheila A. McIlraith NAI 136 7 0 31 Dec 2019
Individual specialization in multi-task environments with multiagent reinforcement learners M. Gasparrini Ricard Solé Martí Sánchez-Fibla 21 3 0 29 Dec 2019
SLM Lab: A Comprehensive Benchmark and Modular Software Framework for Reproducible Deep Reinforcement Learning Keng Wah Loon L. Graesser Milan Cvitkovic OffRL 48 13 0 28 Dec 2019
A Survey of Deep Reinforcement Learning in Video Games Kun Shao Zhentao Tang Yuanheng Zhu Nannan Li Dongbin Zhao OffRL AI4TS 135 193 0 23 Dec 2019
Learning Variable Ordering Heuristics for Solving Constraint Satisfaction Problems Wen Song Zhiguang Cao Jie Zhang Andrew Lim 72 34 0 23 Dec 2019
Direct and indirect reinforcement learning Yang Guan Shengbo Eben Li Jingliang Duan Jie Li Yangang Ren Qi Sun B. Cheng OffRL 75 34 0 23 Dec 2019
Questions to Guide the Future of Artificial Intelligence Research J. Ott 24 3 0 21 Dec 2019
Soft Q Network Jingbin Liu Shuai Liu Xinyang Gu OffRL 51 2 0 20 Dec 2019
Pseudo Random Number Generation: a Reinforcement Learning approach Luca Pasqualini Maurizio Parton 41 27 0 15 Dec 2019
Adapting Behaviour for Learning Progress Tom Schaul Diana Borsa David Ding David Szepesvari Georg Ostrovski Will Dabney Simon Osindero 160 19 0 14 Dec 2019
The PlayStation Reinforcement Learning Environment (PSXLE) Carlos Purves Cătălina Cangea Petar Velickovic 26 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 35 6 0 11 Dec 2019
Reinforcement Learning with Convolutional Reservoir Computing Hanten Chang K. Futagami 53 22 0 05 Dec 2019
Improving Policies via Search in Cooperative Partially Observable Games Adam Lerer Hengyuan Hu Jakob N. Foerster Noam Brown 79 78 0 05 Dec 2019
Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning Hengyuan Hu Jakob N. Foerster OffRL 92 82 0 04 Dec 2019
Distributed Soft Actor-Critic with Multivariate Reward Representation and Knowledge Distillation Dmitry Akimov 29 10 0 29 Nov 2019
Stigmergic Independent Reinforcement Learning for Multi-Agent Collaboration Xing Xu Rongpeng Li Zhifeng Zhao Honggang Zhang 70 26 0 28 Nov 2019
A selected review on reinforcement learning based control for autonomous underwater vehicles Yachu Hsu Hui Wu Keyou You Shiji Song 28 3 0 27 Nov 2019
Adversarial Deep Reinforcement Learning based Adaptive Moving Target Defense Taha Eghtesad Yevgeniy Vorobeychik Aron Laszka AAML 49 8 0 27 Nov 2019
Join Query Optimization with Deep Reinforcement Learning Algorithms Jonas Heitz Kurt Stockinger 89 16 0 26 Nov 2019
Biologically inspired architectures for sample-efficient deep reinforcement learning Pierre Harvey Richemond Arinbjorn Kolbeinsson Yike Guo 59 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 91 27 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 43 9 0 24 Nov 2019
Neural Approximate Dynamic Programming for On-Demand Ride-Pooling Sanket Shah Meghna Lowalekar Pradeep Varakantham 75 82 0 20 Nov 2019
Placement Optimization of Aerial Base Stations with Deep Reinforcement Learning Jin Qiu Jiangbin Lyu Liqun Fu 63 29 0 19 Nov 2019
Gamma-Nets: Generalizing Value Estimation over Timescale Craig Sherstan Shibhansh Dohare J. MacGlashan J. Günther P. Pilarski 95 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 88 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 107 47 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 60 202 0 10 Nov 2019
Hierarchical Reinforcement Learning Method for Autonomous Vehicle Behavior Planning Zhiqian Qiao Zachariah Tyree P. Mudalige J. Schneider John M. Dolan 51 33 0 09 Nov 2019
Experience Sharing Between Cooperative Reinforcement Learning Agents Lucas O. Souza G. Ramos C. Ralha 52 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 120 136 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 32 21 0 04 Nov 2019
Online Robustness Training for Deep Reinforcement Learning Marc Fischer M. Mirman Steven Stalder Martin Vechev OnRL 110 41 0 03 Nov 2019
Explicit Explore-Exploit Algorithms in Continuous State Spaces Mikael Henaff OffRL 119 32 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 60 40 0 31 Oct 2019
Cascaded LSTMs based Deep Reinforcement Learning for Goal-driven Dialogue Yue Ma Xiaojie Wang Zhenjiang Dong Hong Chen BDL 36 2 0 31 Oct 2019
Deep Decentralized Reinforcement Learning for Cooperative Control Florian Köpf Samuel Tesfazgi M. Flad Sören Hohmann 86 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 43 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 42 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 59 17 0 22 Oct 2019
Deep Reinforcement Learning Control of Quantum Cartpoles Zhikang T. Wang Yuto Ashida Masahito Ueda 76 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 58 10 0 19 Oct 2019
Single Episode Policy Transfer in Reinforcement Learning Jiachen Yang Brenden K. Petersen H. Zha Daniel Faissol OOD OffRL 125 35 0 17 Oct 2019
Creativity in Robot Manipulation with Deep Reinforcement Learning Juan Vargas Malhar Bhoite A. Farimani 32 4 0 16 Oct 2019
On the Reduction of Variance and Overestimation of Deep Q-Learning Mohammed Sabry A. A. A. Khalifa OOD OffRL 67 12 0 14 Oct 2019