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Prioritized Experience Replay

18 November 2015

David Silver

Papers citing "Prioritized Experience Replay"

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Title
Multi-agent Reinforcement Learning Accelerated MCMC on Multiscale Inversion Problem Eric T. Chung Y. Efendiev W. Leung Sai-Mang Pun Zecheng Zhang 46 12 0 17 Nov 2020
Avoiding Tampering Incentives in Deep RL via Decoupled Approval J. Uesato Ramana Kumar Victoria Krakovna Tom Everitt Richard Ngo Shane Legg 76 16 0 17 Nov 2020
Leveraging the Variance of Return Sequences for Exploration Policy Zerong Xi G. Sukthankar 31 0 0 17 Nov 2020
ACDER: Augmented Curiosity-Driven Experience Replay Boyao Li Tao Lu Jiayi Li N. Lu Yinghao Cai Shuo Wang 60 16 0 16 Nov 2020
Deep reinforcement learning for RAN optimization and control Yu Chen Jie Chen G. Krishnamurthi Huijing Yang Huahui Wang Wenjie Zhao 39 1 0 09 Nov 2020
Exploring market power using deep reinforcement learning for intelligent bidding strategies Alexander J. M. Kell M. Forshaw A. Mcgough 18 7 0 08 Nov 2020
B-GAP: Behavior-Rich Simulation and Navigation for Autonomous Driving A. Mavrogiannis Rohan Chandra Tianyi Zhou 96 24 0 07 Nov 2020
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial Amal Feriani Ekram Hossain 215 245 0 06 Nov 2020
Learning Barrier Functions with Memory for Robust Safe Navigation Kehan Long Cheng Qian Jorge Cortés Nikolay Atanasov 104 58 0 03 Nov 2020
Deep Reinforcement Learning Based Dynamic Route Planning for Minimizing Travel Time Yuanzhe Geng Erwu Liu Rui Wang Yiming Liu 38 35 0 03 Nov 2020
Amortized Variational Deep Q Network Haotian Zhang Yuhao Wang Jianyong Sun Zongben Xu BDL 48 0 0 03 Nov 2020
Cooperative Heterogeneous Deep Reinforcement Learning Han Zheng Pengfei Wei Jing Jiang Guodong Long Qinghua Lu Chengqi Zhang 96 12 0 02 Nov 2020
Optimizing Mixed Autonomy Traffic Flow With Decentralized Autonomous Vehicles and Multi-Agent RL Eugene Vinitsky Nathan Lichtlé Kanaad Parvate Alexandre M. Bayen 37 12 0 30 Oct 2020
Learning Vision-based Reactive Policies for Obstacle Avoidance Elie Aljalbout Ji Chen Konstantin Ritt Maximilian Ulmer Sami Haddadin 44 21 0 30 Oct 2020
DeepFoldit -- A Deep Reinforcement Learning Neural Network Folding Proteins Dimitra N. Panou M. Reczko 77 3 0 28 Oct 2020
Learning to Represent Action Values as a Hypergraph on the Action Vertices Arash Tavakoli Mehdi Fatemi Petar Kormushev 89 23 0 28 Oct 2020
Optimal Client Sampling for Federated Learning Jiajun He Samuel Horváth Peter Richtárik FedML 95 201 0 26 Oct 2020
Forethought and Hindsight in Credit Assignment Veronica Chelu Doina Precup H. V. Hasselt 92 26 0 26 Oct 2020
CoinDICE: Off-Policy Confidence Interval Estimation Bo Dai Ofir Nachum Yinlam Chow Lihong Li Csaba Szepesvári Dale Schuurmans OffRL 76 87 0 22 Oct 2020
Deep Surrogate Q-Learning for Autonomous Driving M. Kalweit Gabriel Kalweit M. Werling Joschka Boedecker OffRL 46 6 0 21 Oct 2020
Logistic Q-Learning Joan Bas-Serrano Sebastian Curi Andreas Krause Gergely Neu 108 40 0 21 Oct 2020
Improving Generalization in Reinforcement Learning with Mixture Regularization Kaixin Wang Bingyi Kang Jie Shao Jiashi Feng 188 120 0 21 Oct 2020
A Learning Approach to Robot-Agnostic Force-Guided High Precision Assembly Jieliang Luo Hui Li 90 18 0 15 Oct 2020
Deep Reinforcement Learning and Transportation Research: A Comprehensive Review Nahid Parvez Farazi T. Ahamed Limon Barua Bo Zou AI4TS 69 18 0 13 Oct 2020
Instance Weighted Incremental Evolution Strategies for Reinforcement Learning in Dynamic Environments Zhi Wang Chunlin Chen D. Dong 51 12 0 09 Oct 2020
Parameterized Reinforcement Learning for Optical System Optimization H. Wankerl M. L. Stern Ali Mahdavi C. Eichler E. Lang 113 23 0 09 Oct 2020
Prioritized Level Replay Minqi Jiang Edward Grefenstette Tim Rocktaschel OffRL 134 160 0 08 Oct 2020
Neural Mask Generator: Learning to Generate Adaptive Word Maskings for Language Model Adaptation Minki Kang Moonsu Han Sung Ju Hwang OOD 81 18 0 06 Oct 2020
The Effectiveness of Memory Replay in Large Scale Continual Learning Yogesh Balaji Mehrdad Farajtabar Dong Yin Alex Mott Ang Li 101 40 0 06 Oct 2020
Sentiment Analysis for Reinforcement Learning Ameet Deshpande Eve Fleisig 33 0 0 05 Oct 2020
Mastering Atari with Discrete World Models Danijar Hafner Timothy Lillicrap Mohammad Norouzi Jimmy Ba DRL 209 877 0 05 Oct 2020
Policy Learning Using Weak Supervision Jingkang Wang Hongyi Guo Zhaowei Zhu Yang Liu OffRL 74 15 0 05 Oct 2020
Episodic Memory for Learning Subjective-Timescale Models Alexey Zakharov Matthew Crosby Zafeirios Fountas 41 4 0 03 Oct 2020
Disentangling causal effects for hierarchical reinforcement learning Oriol Corcoll Raul Vicente CML 79 9 0 03 Oct 2020
Correcting Experience Replay for Multi-Agent Communication S. Ahilan Peter Dayan 56 10 0 02 Oct 2020
Continual Learning for Natural Language Generation in Task-oriented Dialog Systems Fei Mi Liangwei Chen Mengjie Zhao Minlie Huang Boi Faltings CLL KELM 65 71 0 02 Oct 2020
Student-Initiated Action Advising via Advice Novelty Ercüment Ilhan Jeremy Gow Diego Perez 53 9 0 01 Oct 2020
Deep Reinforcement Learning for Efficient Measurement of Quantum Devices Vu-Linh Nguyen S. B. Orbell D. Lennon H. Moon F. Vigneau ... D. Zumbuhl G. Briggs Michael A. Osborne D. Sejdinovic N. Ares 55 41 0 30 Sep 2020
Lucid Dreaming for Experience Replay: Refreshing Past States with the Current Policy Yunshu Du Garrett A. Warnell A. Gebremedhin Peter Stone Matthew E. Taylor 58 11 0 29 Sep 2020
Enhancing a Neurocognitive Shared Visuomotor Model for Object Identification, Localization, and Grasping With Learning From Auxiliary Tasks Matthias Kerzel Fares Abawi Manfred Eppe S. Wermter 123 3 0 26 Sep 2020
Lineage Evolution Reinforcement Learning Zeyu Zhang Guisheng Yin 24 0 0 26 Sep 2020
Multi-Agent Deep Reinforcement Learning Based Trajectory Planning for Multi-UAV Assisted Mobile Edge Computing Liang Wang Kezhi Wang Cunhua Pan Wenyuan Xu N. Aslam L. Hanzo 61 288 0 23 Sep 2020
Is Q-Learning Provably Efficient? An Extended Analysis Kushagra Rastogi Jonathan Lee Fabrice Harel-Canada Aditya Sunil Joglekar OffRL 28 1 0 22 Sep 2020
Deep Reinforcement Learning Methods for Structure-Guided Processing Path Optimization Johannes Dornheim L. Morand Samuel Zeitvogel Tarek Iraki Norbert Link Dirk Helm 58 21 0 21 Sep 2020
Efficient Reinforcement Learning Development with RLzoo Zihan Ding Tianyang Yu Yanhua Huang Hongming Zhang Guo Li Quancheng Guo Kai Zou Hao Dong OffRL OnRL 37 6 0 18 Sep 2020
Knowledge-Assisted Deep Reinforcement Learning in 5G Scheduler Design: From Theoretical Framework to Implementation Zhouyou Gu Changyang She Wibowo Hardjawana Simon Lumb David McKechnie Todd Essery Branka Vucetic 85 68 0 17 Sep 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 199 80 0 17 Sep 2020
Transfer Learning in Deep Reinforcement Learning: A Survey Zhuangdi Zhu Kaixiang Lin Anil K. Jain Jiayu Zhou OffRL LRM 149 606 0 16 Sep 2020
Soft policy optimization using dual-track advantage estimator Yubo Huang Xuechun Wang Luobao Zou Zhiwei Zhuang Weidong Zhang 23 3 0 15 Sep 2020
A Tutorial on Ultra-Reliable and Low-Latency Communications in 6G: Integrating Domain Knowledge into Deep Learning Changyang She Chengjian Sun Zhouyou Gu Yonghui Li Chenyang Yang H. Vincent Poor Branka Vucetic 98 17 0 13 Sep 2020