Prioritized Experience Replay

18 November 2015

David Silver

Papers citing "Prioritized Experience Replay"

50 / 1,441 papers shown

Title
Deep Deterministic Portfolio Optimization Ayman Chaouki Stephen J. Hardiman Christian Schmidt Emmanuel Sérié J. D. Lataillade 12 18 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 23 229 0 13 Mar 2020
Application of Deep Q-Network in Portfolio Management Ziming Gao Yuan Gao Yitao Hu Zhengyong Jiang Jionglong Su AIFin 24 49 0 13 Mar 2020
Sample Efficient Reinforcement Learning through Learning from Demonstrations in Minecraft Christian Scheller Yanick Schraner Manfred Vogel 29 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 160 458 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 29 169 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 18 12 0 09 Mar 2020
Deep Adversarial Reinforcement Learning for Object Disentangling Melvin Laux Oleg Arenz Jan Peters Joni Pajarinen DRL 19 3 0 08 Mar 2020
Validation of Image-Based Neural Network Controllers through Adaptive Stress Testing Kyle D. Julian Ritchie Lee Mykel J. Kochenderfer 25 32 0 05 Mar 2020
Dynamic Experience Replay Jieliang Luo Hui Li 120 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 13 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 18 26 0 28 Feb 2020
Autonomous robotic nanofabrication with reinforcement learning Philipp Leinen Malte Esders Kristof T. Schütt C. Wagner K. Müller F. Tautz 22 52 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 43 3 0 27 Feb 2020
A Visual Communication Map for Multi-Agent Deep Reinforcement Learning Ngoc Duy Nguyen Thanh Thi Nguyen Doug Creighton S. Nahavandi 33 5 0 27 Feb 2020
Improving BERT Fine-Tuning via Self-Ensemble and Self-Distillation Yige Xu Xipeng Qiu L. Zhou Xuanjing Huang 17 66 0 24 Feb 2020
How Transferable are the Representations Learned by Deep Q Agents? Jacob Tyo Zachary Chase Lipton OffRL 25 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 46 147 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 35 81 0 21 Feb 2020
Informative Path Planning for Mobile Sensing with Reinforcement Learning Yongyong Wei Rong Zheng 26 34 0 18 Feb 2020
Adaptive Experience Selection for Policy Gradient S. Mohamad Giovanni Montana 39 0 0 17 Feb 2020
Reinforcement learning for the privacy preservation and manipulation of eye tracking data Wolfgang Fuhl Efe Bozkir Enkelejda Kasneci 26 1 0 17 Feb 2020
Investigating Simple Object Representations in Model-Free Deep Reinforcement Learning Guy Davidson Brenden M. Lake OCL OffRL 19 10 0 16 Feb 2020
R-MADDPG for Partially Observable Environments and Limited Communication Rose E. Wang M. Everett Jonathan P. How 17 87 0 16 Feb 2020
First Order Constrained Optimization in Policy Space Yiming Zhang Q. Vuong Keith Ross 8 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 34 291 0 14 Feb 2020
Frequency-based Search-control in Dyna Yangchen Pan Jincheng Mei Amir-massoud Farahmand 13 15 0 14 Feb 2020
XCS Classifier System with Experience Replay Anthony Stein Roland Maier Lukas Rosenbauer J. Hähner BDL 28 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 6 30 0 13 Feb 2020
Fast Reinforcement Learning for Anti-jamming Communications P. Ye Yuan-Gen Wang Jin Li Liang Xiao 37 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 19 27 0 11 Feb 2020
Accelerating Reinforcement Learning for Reaching using Continuous Curriculum Learning Sha Luo Hamidreza Kasaei Lambert Schomaker CLL 28 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 26 4 0 05 Feb 2020
Bootstrapping a DQN Replay Memory with Synthetic Experiences Wenzel Pilar von Pilchau Anthony Stein J. Hähner OffRL 25 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 76 30 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 171 1,642 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 31 39 0 24 Jan 2020
Nested-Wasserstein Self-Imitation Learning for Sequence Generation Ruiyi Zhang Changyou Chen Zhe Gan Zheng Wen Wenlin Wang Lawrence Carin 31 5 0 20 Jan 2020
Continuous-action Reinforcement Learning for Playing Racing Games: Comparing SPG to PPO Mario S. Holubar M. Wiering 9 10 0 15 Jan 2020
Deep Reinforcement Learning for Complex Manipulation Tasks with Sparse Feedback Binyamin Manela 18 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 9 72 0 10 Jan 2020
Towards Neural-Guided Program Synthesis for Linear Temporal Logic Specifications Alberto Camacho Sheila A. McIlraith NAI 19 6 0 31 Dec 2019
Individual specialization in multi-task environments with multiagent reinforcement learners M. Gasparrini Ricard Solé Martí Sánchez-Fibla 9 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 29 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 43 188 0 23 Dec 2019
Learning Variable Ordering Heuristics for Solving Constraint Satisfaction Problems Wen Song Zhiguang Cao Jie Zhang Andrew Lim 27 33 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 38 34 0 23 Dec 2019
Questions to Guide the Future of Artificial Intelligence Research J. Ott 22 3 0 21 Dec 2019
Soft Q Network Jingbin Liu Shuai Liu Xinyang Gu OffRL 26 2 0 20 Dec 2019
Pseudo Random Number Generation: a Reinforcement Learning approach Luca Pasqualini Maurizio Parton 14 26 0 15 Dec 2019