Prioritized Experience Replay

18 November 2015

David Silver

Papers citing "Prioritized Experience Replay"

50 / 1,441 papers shown

Title
ROER: Regularized Optimal Experience Replay Changling Li Zhang-Wei Hong Pulkit Agrawal Divyansh Garg Joni Pajarinen OffRL 52 1 0 04 Jul 2024
DRLQ: A Deep Reinforcement Learning-based Task Placement for Quantum Cloud Computing H. T. Nguyen Muhammad Usman Rajkumar Buyya 29 0 0 03 Jul 2024
Coordination Failure in Cooperative Offline MARL C. Tilbury Claude Formanek Louise Beyers Jonathan P. Shock Arnu Pretorius OffRL 48 1 0 01 Jul 2024
Data curation via joint example selection further accelerates multimodal learning Talfan Evans Nikhil Parthasarathy Hamza Merzic Olivier J. Hénaff 32 13 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 48 7 0 25 Jun 2024
Learning to Select Goals in Automated Planning with Deep-Q Learning Carlos Núnez-Molina Juan Fernández-Olivares Raúl Pérez 36 10 0 20 Jun 2024
Beyond Optimism: Exploration With Partially Observable Rewards Simone Parisi Alireza Kazemipour Michael Bowling OffRL 34 1 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 61 0 0 19 Jun 2024
Sample-efficient Imitative Multi-token Decision Transformer for Generalizable Real World Driving Hang Zhou Dan Xu Yiding Ji OffRL 37 0 0 18 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 37 4 0 18 Jun 2024
CUER: Corrected Uniform Experience Replay for Off-Policy Continuous Deep Reinforcement Learning Algorithms Arda Sarp Yenicesu Furkan B. Mutlu Suleyman Serdar Kozat Ozgur S. Oguz 25 1 0 13 Jun 2024
Small Scale Data-Free Knowledge Distillation He Liu Yikai Wang Huaping Liu Fuchun Sun Anbang Yao 32 8 0 12 Jun 2024
Online Frequency Scheduling by Learning Parallel Actions Anastasios Giovanidis Mathieu Leconte Sabrine Aroua T. Kvernvik David Sandberg 39 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 30 3 0 05 Jun 2024
FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning Wenzhe Li Zihan Ding Seth Karten Chi Jin 40 1 0 04 Jun 2024
Reciprocal Reward Influence Encourages Cooperation From Self-Interested Agents John L. Zhou Weizhe Hong Jonathan C. Kao 35 0 0 03 Jun 2024
REvolve: Reward Evolution with Large Language Models using Human Feedback Rishi Hazra Alkis Sygkounas A. Persson Amy Loutfi Pedro Zuidberg Dos Martires 48 2 0 03 Jun 2024
Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets Haoran He C. Chang Huazhe Xu Ling Pan 94 6 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 42 0 0 02 Jun 2024
FDQN: A Flexible Deep Q-Network Framework for Game Automation Prabhath Reddy Gujavarthy OffRL 17 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 62 0 0 23 May 2024
Exclusively Penalized Q-learning for Offline Reinforcement Learning Junghyuk Yeom Yonghyeon Jo Jungmo Kim Sanghyeon Lee Seungyul Han OffRL 44 2 0 23 May 2024
Learning To Play Atari Games Using Dueling Q-Learning and Hebbian Plasticity Md Ashfaq Salehin 23 0 0 22 May 2024
Efficient Multi-agent Reinforcement Learning by Planning Qihan Liu Jianing Ye Xiaoteng Ma Jun Yang Bin Liang Chongjie Zhang 35 4 0 20 May 2024
Detecting Continuous Integration Skip : A Reinforcement Learning-based Approach Hajer Mhalla M. Saied 24 0 0 15 May 2024
A Distributed Approach to Autonomous Intersection Management via Multi-Agent Reinforcement Learning Matteo Cederle Marco Fabris Gian Antonio Susto 31 0 0 14 May 2024
Adaptive Exploration for Data-Efficient General Value Function Evaluations Arushi Jain Josiah P. Hanna Doina Precup 36 1 0 13 May 2024
Data-Efficient and Robust Task Selection for Meta-Learning Donglin Zhan James Anderson OOD 34 2 0 11 May 2024
The Curse of Diversity in Ensemble-Based Exploration Zhixuan Lin P. DÓro Evgenii Nikishin Rameswar Panda 52 1 0 07 May 2024
Actor-Critic Reinforcement Learning with Phased Actor Ruofan Wu Junmin Zhong Jennie Si 20 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 24 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 50 58 0 11 Apr 2024
Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective Victor-Alexandru Darvariu Stephen Hailes Mirco Musolesi AI4CE 53 6 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 29 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 40 4 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 21 0 0 04 Apr 2024
Rethinking Teacher-Student Curriculum Learning through the Cooperative Mechanics of Experience Manfred Diaz Liam Paull Andrea Tacchetti 50 0 0 03 Apr 2024
SliceIt! -- A Dual Simulator Framework for Learning Robot Food Slicing C. C. Beltran-Hernandez Nicolas Erbetti Masashi Hamaya 51 3 0 03 Apr 2024
Enhancing Sum-Rate Performance in Constrained Multicell Networks: A Low-Information Exchange Approach Youjin Kim Jonggyu Jang H. Yang 19 0 0 03 Apr 2024
Deep Reinforcement Learning in Autonomous Car Path Planning and Control: A Survey Yiyang Chen Chao Ji Yunrui Cai Tong Yan Bo Su 29 4 0 30 Mar 2024
Nonparametric Bellman Mappings for Reinforcement Learning: Application to Robust Adaptive Filtering Yuki Akiyama Minh Vu Konstantinos Slavakis 30 3 0 29 Mar 2024
Task2Morph: Differentiable Task-inspired Framework for Contact-Aware Robot Design Yishuai Cai Shaowu Yang Minglong Li Xinglin Chen Yunxin Mao Xiaodong Yi Wenjing Yang 25 3 0 28 Mar 2024
Simple Ingredients for Offline Reinforcement Learning Edoardo Cetin Andrea Tirinzoni Matteo Pirotta A. Lazaric Yann Ollivier Ahmed Touati OffRL 42 2 0 19 Mar 2024
Identifying Optimal Launch Sites of High-Altitude Latex-Balloons using Bayesian Optimisation for the Task of Station-Keeping Jack D. Saunders Sajad Saeedi Adam Hartshorne Binbin Xu Özgür Simsek Alan Hunter Wenbin Li 22 0 0 16 Mar 2024
SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning Nicholas Zolman Urban Fasel J. Nathan Kutz Steven L. Brunton AI4CE 30 11 0 14 Mar 2024
An Improved Strategy for Blood Glucose Control Using Multi-Step Deep Reinforcement Learning Weiwei Gu Senquan Wang 45 5 0 12 Mar 2024
Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding Huijie Tang Federico Berto Jinkyoo Park 46 4 0 12 Mar 2024
Learning Speed Adaptation for Flight in Clutter Guangyu Zhao Tianyue Wu Yeke Chen Fei Gao 46 7 0 07 Mar 2024
Bidirectional Progressive Neural Networks with Episodic Return Progress for Emergent Task Sequencing and Robotic Skill Transfer S. E. Ada Hanne Say Emre Ugur Erhan Öztop 41 1 0 06 Mar 2024
A Survey on Applications of Reinforcement Learning in Spatial Resource Allocation Di Zhang Moyang Wang Joseph D Mango Xiang Li Xianrui Xu 45 1 0 06 Mar 2024