Prioritized Experience Replay

18 November 2015

David Silver

Papers citing "Prioritized Experience Replay"

50 / 1,441 papers shown

Title
Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization Shixuan Liu Yanghe Feng Keyu Wu Guangquan Cheng Jincai Huang Zhong Liu CML 67 7 0 27 Dec 2024
ACL-QL: Adaptive Conservative Level in Q-Learning for Offline Reinforcement Learning Kun Wu Yinuo Zhao Zhihao Xu Zhengping Che Chengxiang Yin C. Liu Qinru Qiu Feiferi Feng OffRL 109 1 0 22 Dec 2024
Design of Restricted Normalizing Flow towards Arbitrary Stochastic Policy with Computational Efficiency Taisuke Kobayashi Takumi Aotani 145 5 0 17 Dec 2024
Optimizing Plastic Waste Collection in Water Bodies Using Heterogeneous Autonomous Surface Vehicles with Deep Reinforcement Learning Alejandro Mendoza Barrionuevo S. Luis Daniel Gutiérrez-Reina S. T. Marín 71 1 0 03 Dec 2024
Playable Game Generation Mingyu Yang Junyou Li Zhongbin Fang Sheng Chen Yangbin Yu Qiang Fu Wei Yang Deheng Ye VGen 76 9 0 01 Dec 2024
Towards Fault Tolerance in Multi-Agent Reinforcement Learning Yuchen Shi Huaxin Pei Liang Feng Jianming Hu Dingyi Yao 75 0 0 30 Nov 2024
A Local Information Aggregation based Multi-Agent Reinforcement Learning for Robot Swarm Dynamic Task Allocation Yang Lv Jinlong Lei Peng Yi 59 1 0 29 Nov 2024
CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening A. Kulkarni Shangtong Zhang Madhur Behl AAML 63 0 0 26 Nov 2024
From Prototypes to General Distributions: An Efficient Curriculum for Masked Image Modeling Jinhong Lin Cheng-En Wu Huanran Li Jifan Zhang Yu Hen Hu Pedro Morgado 43 0 0 16 Nov 2024
Act in Collusion: A Persistent Distributed Multi-Target Backdoor in Federated Learning Tao Liu Wu Yang Chen Xu Jiguang Lv Huanran Wang Yuhang Zhang Shuchun Xu Dapeng Man AAML FedML 35 0 0 06 Nov 2024
Beyond The Rainbow: High Performance Deep Reinforcement Learning on a Desktop PC Tyler Clark Mark Towers Christine Evers Jonathon Hare OffRL 40 0 0 06 Nov 2024
Autonomous Decision Making for UAV Cooperative Pursuit-Evasion Game with Reinforcement Learning Yang Zhao Zidong Nie Kangsheng Dong Qinghua Huang Xiaochen Li 25 0 0 05 Nov 2024
Efficient Diversity-based Experience Replay for Deep Reinforcement Learning Kaiyan Zhao Yiming Wang Yuyang Chen Yan Li Leong Hou U Xiaoguang Niu 44 1 0 27 Oct 2024
Prioritized Generative Replay Renhao Wang Kevin Frans Pieter Abbeel Sergey Levine Alexei A. Efros OnRL DiffM 119 2 0 23 Oct 2024
Solving Continual Offline RL through Selective Weights Activation on Aligned Spaces Jifeng Hu Sili Huang Li Shen Zhejian Yang Shengchao Hu Shisong Tang Hechang Chen Yi Chang Dacheng Tao Lichao Sun OffRL 44 0 0 21 Oct 2024
Optimizing Backward Policies in GFlowNets via Trajectory Likelihood Maximization Timofei Gritsaev Nikita Morozov S. Samsonov D. Tiapkin 26 0 0 20 Oct 2024
TF-DDRL: A Transformer-enhanced Distributed DRL Technique for Scheduling IoT Applications in Edge and Cloud Computing Environments Zhiyu Wang M. Goudarzi Rajkumar Buyya OffRL 37 3 0 18 Oct 2024
Enhancing LLM Agents for Code Generation with Possibility and Pass-rate Prioritized Experience Replay Yuyang Chen Kaiyan Zhao Yiming Wang Ming Yang Jian Zhang Yan Li 47 1 0 16 Oct 2024
DIAR: Diffusion-model-guided Implicit Q-learning with Adaptive Revaluation Jaehyun Park Yunho Kim Sejin Kim Byung-Jun Lee Sundong Kim OffRL 39 1 0 15 Oct 2024
Diffusion-Based Offline RL for Improved Decision-Making in Augmented ARC Task Yunho Kim Jaehyun Park Heejun Kim Sejin Kim Byung-Jun Lee Sundong Kim OffRL 40 1 0 15 Oct 2024
Learning Agents With Prioritization and Parameter Noise in Continuous State and Action Space Rajesh Mangannavar Gopalakrishnan Srinivasaraghavan 25 2 0 15 Oct 2024
PCF-Lift: Panoptic Lifting by Probabilistic Contrastive Fusion Runsong Zhu Shi Qiu Qianyi Wu Ka-Hei Hui Pheng-Ann Heng Chi-Wing Fu 36 3 0 14 Oct 2024
SAPIENT: Mastering Multi-turn Conversational Recommendation with Strategic Planning and Monte Carlo Tree Search Hanwen Du B. Peng Xia Ning 38 0 0 12 Oct 2024
Towards Self-Improvement of LLMs via MCTS: Leveraging Stepwise Knowledge with Curriculum Preference Learning Xiyao Wang Linfeng Song Ye Tian Dian Yu Baolin Peng Haitao Mi Furong Huang Dong Yu LRM 60 11 0 09 Oct 2024
Learning in complex action spaces without policy gradients Arash Tavakoli Sina Ghiassian Nemanja Rakićević OffRL 34 0 0 08 Oct 2024
ETGL-DDPG: A Deep Deterministic Policy Gradient Algorithm for Sparse Reward Continuous Control Ehsan Futuhi Shayan Karimi Chao Gao Martin Müller 45 1 0 07 Oct 2024
Adaptive teachers for amortized samplers Minsu Kim Sanghyeok Choi Taeyoung Yun Emmanuel Bengio Leo Feng Jarrid Rector-Brooks Sungsoo Ahn Jinkyoo Park Nikolay Malkin Yoshua Bengio 258 4 0 02 Oct 2024
Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training Pihe Hu Shaolong Li Zhuoran Li L. Pan Longbo Huang 29 0 0 28 Sep 2024
CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills using Large Language Models Kanghyun Ryu Qiayuan Liao Zhongyu Li Koushil Sreenath Negar Mehr Negar Mehr LM&Ro 210 3 0 27 Sep 2024
DIGIMON: Diagnosis and Mitigation of Sampling Skew for Reinforcement Learning based Meta-Planner in Robot Navigation Shiwei Feng Xuan Chen Zhiyuan Cheng Zikang Xiong Yifei Gao Siyuan Cheng Sayali Kate Xiangyu Zhang OffRL 30 0 0 17 Sep 2024
CD-NGP: A Fast Scalable Continual Representation for Dynamic Scenes Zhenhuan Liu Shuai Liu Zhiwei Ning Jie Yang Wei Liu 3DV 3DGS 37 2 0 08 Sep 2024
Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn Hongyao Tang Glen Berseth OffRL 50 1 0 07 Sep 2024
Robust off-policy Reinforcement Learning via Soft Constrained Adversary Kosuke Nakanishi Akihiro Kubo Yuji Yasui Shin Ishii 53 0 0 31 Aug 2024
A Tighter Convergence Proof of Reverse Experience Replay Nan Jiang Jinzhao Li Yexiang Xue 21 0 0 30 Aug 2024
Theoretical Insights into Overparameterized Models in Multi-Task and Replay-Based Continual Learning Mohammadamin Banayeeanzade Mahdi Soltanolkotabi Mohammad Rostami CLL LRM 103 1 0 29 Aug 2024
The Evolution of Reinforcement Learning in Quantitative Finance: A Survey Nikolaos Pippas Cagatay Turkay Elliot A. Ludvig AIFin 95 3 0 20 Aug 2024
Enhancing Reinforcement Learning Through Guided Search Jérôme Arjonilla Abdallah Saffidine Tristan Cazenave OffRL 99 0 0 19 Aug 2024
SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning Jianye Xu Pan Hu Bassam Alrifaee 49 5 0 14 Aug 2024
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 38 3 0 11 Aug 2024
Review of Cloud Service Composition for Intelligent Manufacturing Cuixia Li Liqiang Liu Li Shi 29 0 0 03 Aug 2024
Adaptive traffic signal safety and efficiency improvement by multi objective deep reinforcement learning approach Shahin Mirbakhsh Mahdi Azizi 23 2 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 34 1 0 30 Jul 2024
Collision Probability Distribution Estimation via Temporal Difference Learning Thomas Steinecker Thorsten Luettel Mirko Maehlisch 19 0 0 29 Jul 2024
The Cross-environment Hyperparameter Setting Benchmark for Reinforcement Learning Andrew Patterson Samuel Neumann Raksha Kumaraswamy Martha White Adam White 26 2 0 26 Jul 2024
Principal-Agent Reinforcement Learning Dima Ivanov Paul Dutting Inbal Talgam-Cohen Tonghan Wang David C. Parkes 42 3 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 27 1 0 23 Jul 2024
Multiple Importance Sampling for Stochastic Gradient Estimation Corentin Salaün Xingchang Huang Iliyan Georgiev Niloy J. Mitra Gurprit Singh 32 1 0 22 Jul 2024
Investigating the Interplay of Prioritized Replay and Generalization Parham Mohammad Panahi Andrew Patterson Martha White Adam White 58 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 34 0 0 08 Jul 2024
Embracing Massive Medical Data Yu-Cheng Chou Zongwei Zhou Alan Yuille CLL OOD 40 4 0 05 Jul 2024