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Prioritized Experience Replay

18 November 2015

David Silver

Papers citing "Prioritized Experience Replay"

50 / 1,454 papers shown

Title
Parallel Distributional Deep Reinforcement Learning for Mapless Navigation of Terrestrial Mobile Robots V. A. Kich A. H. Kolling J. C. Jesus Gabriel V. Heisler Hiago Jacobs ... André da Silva Kelbouscas Akihisa Ohya Ricardo B. Grando Paulo Lilles Jorge Drews-Jr D. T. Gamarra 55 3 0 11 Aug 2024
Review of Cloud Service Composition for Intelligent Manufacturing Cuixia Li Liqiang Liu Li Shi 38 0 0 03 Aug 2024
Adaptive traffic signal safety and efficiency improvement by multi objective deep reinforcement learning approach Shahin Mirbakhsh Mahdi Azizi 49 3 0 01 Aug 2024
How to Choose a Reinforcement-Learning Algorithm Fabian Bongratz Vladimir Golkov Lukas Mautner Luca Della Libera Frederik Heetmeyer Felix Czaja Julian Rodemann Daniel Cremers 75 1 0 30 Jul 2024
Collision Probability Distribution Estimation via Temporal Difference Learning Thomas Steinecker Thorsten Luettel Mirko Maehlisch 35 0 0 29 Jul 2024
The Cross-environment Hyperparameter Setting Benchmark for Reinforcement Learning Andrew Patterson Samuel Neumann Raksha Kumaraswamy Martha White Adam White 68 2 0 26 Jul 2024
Principal-Agent Reinforcement Learning Dima Ivanov Paul Dutting Inbal Talgam-Cohen Tonghan Wang David C. Parkes 74 7 0 25 Jul 2024
Reinforcement Learning-based Adaptive Mitigation of Uncorrected DRAM Errors in the Field Isaac Boixaderas Sergi Moré Javier Bartolome David Vicente Petar Radojković Paul M. Carpenter Eduard Ayguadé 31 1 0 23 Jul 2024
Multiple Importance Sampling for Stochastic Gradient Estimation Corentin Salaün Xingchang Huang Iliyan Georgiev Niloy J. Mitra Gurprit Singh 95 1 0 22 Jul 2024
Investigating the Interplay of Prioritized Replay and Generalization Parham Mohammad Panahi Andrew Patterson Martha White Adam White 81 0 0 12 Jul 2024
Generalizing soft actor-critic algorithms to discrete action spaces Le Zhang Yong Gu Xin Zhao Yanshuo Zhang Shu Zhao Yifei Jin Xinxin Wu 93 0 0 08 Jul 2024
Embracing Massive Medical Data Yu-Cheng Chou Zongwei Zhou Alan Yuille CLL OOD 62 4 0 05 Jul 2024
ROER: Regularized Optimal Experience Replay Changling Li Zhang-Wei Hong Pulkit Agrawal Divyansh Garg Joni Pajarinen OffRL 74 1 0 04 Jul 2024
DRLQ: A Deep Reinforcement Learning-based Task Placement for Quantum Cloud Computing H. T. Nguyen Muhammad Usman Rajkumar Buyya 56 0 0 03 Jul 2024
Coordination Failure in Cooperative Offline MARL C. Tilbury Claude Formanek Louise Beyers Jonathan P. Shock Arnu Pretorius OffRL 90 3 0 01 Jul 2024
Data curation via joint example selection further accelerates multimodal learning Talfan Evans Nikhil Parthasarathy Hamza Merzic Olivier J. Hénaff 116 15 0 25 Jun 2024
On the consistency of hyper-parameter selection in value-based deep reinforcement learning J. Obando-Ceron J. G. Araújo Rameswar Panda Pablo Samuel Castro 120 9 0 25 Jun 2024
Learning to Select Goals in Automated Planning with Deep-Q Learning Carlos Núnez-Molina Juan Fernández-Olivares Raúl Pérez 69 10 0 20 Jun 2024
Beyond Optimism: Exploration With Partially Observable Rewards Simone Parisi Alireza Kazemipour Michael Bowling OffRL 96 2 0 20 Jun 2024
Robust Time Series Forecasting with Non-Heavy-Tailed Gaussian Loss-Weighted Sampler Jiang You Arben Cela René Natowicz Jacob Ouanounou Patrick Siarry AI4TS 77 0 0 19 Jun 2024
More Efficient Randomized Exploration for Reinforcement Learning via Approximate Sampling Haque Ishfaq Yixin Tan Yu Yang Qingfeng Lan Jianfeng Lu A. Rupam Mahmood Doina Precup Pan Xu 91 5 0 18 Jun 2024
Physics-informed Imitative Reinforcement Learning for Real-world Driving Hang Zhou Yihao Qin Dan Xu Yiding Ji OffRL 106 0 0 18 Jun 2024
DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning Hao Bai Yifei Zhou Mert Cemri Jiayi Pan Alane Suhr Sergey Levine Aviral Kumar OffRL 114 65 0 14 Jun 2024
CUER: Corrected Uniform Experience Replay for Off-Policy Continuous Deep Reinforcement Learning Algorithms Arda Sarp Yenicesu Furkan B. Mutlu Suleyman S. Kozat Ozgur S. Oguz 29 1 0 13 Jun 2024
Small Scale Data-Free Knowledge Distillation He Liu Yikai Wang Huaping Liu Fuchun Sun Anbang Yao 75 10 0 12 Jun 2024
Online Frequency Scheduling by Learning Parallel Actions Anastasios Giovanidis Mathieu Leconte Sabrine Aroua T. Kvernvik David Sandberg 94 1 0 07 Jun 2024
"Give Me an Example Like This": Episodic Active Reinforcement Learning from Demonstrations Muhan Hou Koen V. Hindriks A. E. Eiben Kim Baraka OffRL 88 3 0 05 Jun 2024
FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning Wenzhe Li Zihan Ding Seth Karten Chi Jin 111 2 0 04 Jun 2024
Reciprocal Reward Influence Encourages Cooperation From Self-Interested Agents John L. Zhou Weizhe Hong Jonathan C. Kao 120 0 0 03 Jun 2024
Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets Haoran He C. Chang Huazhe Xu Ling Pan 206 7 0 03 Jun 2024
REvolve: Reward Evolution with Large Language Models using Human Feedback Rishi Hazra Alkis Sygkounas Andreas Persson Amy Loutfi Pedro Zuidberg Dos Martires 103 3 0 03 Jun 2024
Shared-unique Features and Task-aware Prioritized Sampling on Multi-task Reinforcement Learning Po-Shao Lin Jia-Fong Yeh Yi-Ting Chen Winston H. Hsu 85 0 0 02 Jun 2024
FDQN: A Flexible Deep Q-Network Framework for Game Automation Prabhath Reddy Gujavarthy OffRL 26 0 0 29 May 2024
Which Experiences Are Influential for RL Agents? Efficiently Estimating The Influence of Experiences Takuya Hiraoka Guanquan Wang Takashi Onishi Yoshimasa Tsuruoka 107 0 0 23 May 2024
Exclusively Penalized Q-learning for Offline Reinforcement Learning Junghyuk Yeom Yonghyeon Jo Jungmo Kim Sanghyeon Lee Seungyul Han OffRL 111 3 0 23 May 2024
Learning To Play Atari Games Using Dueling Q-Learning and Hebbian Plasticity Md Ashfaq Salehin 32 0 0 22 May 2024
Efficient Multi-agent Reinforcement Learning by Planning Qihan Liu Jianing Ye Xiaoteng Ma Jun Yang Bin Liang Chongjie Zhang 71 6 0 20 May 2024
Reinforcement learning Florentin Wörgötter 109 2,528 0 16 May 2024
Detecting Continuous Integration Skip : A Reinforcement Learning-based Approach Hajer Mhalla M. Saied 40 0 0 15 May 2024
A Distributed Approach to Autonomous Intersection Management via Multi-Agent Reinforcement Learning Matteo Cederle Marco Fabris Gian Antonio Susto 62 0 0 14 May 2024
Adaptive Exploration for Data-Efficient General Value Function Evaluations Arushi Jain Josiah P. Hanna Doina Precup 59 2 0 13 May 2024
Data-Efficient and Robust Task Selection for Meta-Learning Donglin Zhan James Anderson OOD 98 2 0 11 May 2024
The Curse of Diversity in Ensemble-Based Exploration Zhixuan Lin P. DÓro Evgenii Nikishin Rameswar Panda 101 1 0 07 May 2024
Actor-Critic Reinforcement Learning with Phased Actor Ruofan Wu Junmin Zhong Jennie Si 41 0 0 18 Apr 2024
Autonomous Path Planning for Intercostal Robotic Ultrasound Imaging Using Reinforcement Learning Yuanwei Bi Cheng Qian Zhicheng Zhang Nassir Navab Zhongliang Jiang 43 5 0 15 Apr 2024
Rho-1: Not All Tokens Are What You Need Zheng-Wen Lin Zhibin Gou Yeyun Gong Xiao Liu Yelong Shen ... Chen Lin Yujiu Yang Jian Jiao Nan Duan Weizhu Chen CLL 160 75 0 11 Apr 2024
Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective Victor-Alexandru Darvariu Stephen Hailes Mirco Musolesi AI4CE 124 8 0 09 Apr 2024
Deep Reinforcement Learning for Personalized Diagnostic Decision Pathways Using Electronic Health Records: A Comparative Study on Anemia and Systemic Lupus Erythematosus Lillian Muyama A. Neuraz Adrien Coulet 60 5 0 09 Apr 2024
Growing Q-Networks: Solving Continuous Control Tasks with Adaptive Control Resolution Tim Seyde Peter Werner Wilko Schwarting Markus Wulfmeier Daniela Rus OffRL 82 5 0 05 Apr 2024
Laser Learning Environment: A new environment for coordination-critical multi-agent tasks Yannick Molinghen Raphael Avalos Mark Van Achter A. Nowé Tom Lenaerts 49 0 0 04 Apr 2024