Distributed Prioritized Experience Replay

2 March 2018

Dan Horgan

David Budden

David Silver

Papers citing "Distributed Prioritized Experience Replay"

50 / 373 papers shown

Title
Enhancing Reinforcement learning in 3-Dimensional Hydrophobic-Polar Protein Folding Model with Attention-based layers Peizheng Liu Hitoshi Iba 25 0 0 22 Apr 2025
Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction Wenke Xia Ruoxuan Feng Dong Wang Di Hu 32 0 0 20 Apr 2025
Exploration-Driven Generative Interactive Environments N. Savov Naser Kazemi Mohammad Mahdi Danda Pani Paudel Xi Wang Luc Van Gool VGen 3DV 43 0 0 03 Apr 2025
A Generalist Hanabi Agent Arjun Vaithilingam Sudhakar Hadi Nekoei Mathieu Reymond Miao Liu Janarthanan Rajendran Sarath Chandar 160 0 0 17 Mar 2025
Highly Parallelized Reinforcement Learning Training with Relaxed Assignment Dependencies Zhouyu He Peng Qiao Rongchun Li Yong Dou Yusong Tan OffRL 57 0 0 27 Feb 2025
DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agents Taiyi Wang Zhihao Wu Jianheng Liu Jianye Hao Jun Wang Kun Shao OffRL 36 13 0 24 Feb 2025
Divergence-Augmented Policy Optimization Qing Wang Yingru Li Jiechao Xiong Tong Zhang OffRL 41 16 0 28 Jan 2025
EvoRL: A GPU-accelerated Framework for Evolutionary Reinforcement Learning Bowen Zheng Ran Cheng Kay Chen Tan 39 0 0 25 Jan 2025
Adaptive Data Exploitation in Deep Reinforcement Learning Mingqi Yuan Bo Li Xin Jin Wenjun Zeng OffRL 175 0 0 22 Jan 2025
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 100 1 0 22 Dec 2024
Learning to Navigate in Mazes with Novel Layouts using Abstract Top-down Maps Linfeng Zhao Lawson L. S. Wong 76 1 0 16 Dec 2024
Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation Eliot Xing Vernon Luk Jean Oh 84 0 0 16 Dec 2024
An Investigation of Offline Reinforcement Learning in Factorisable Action Spaces Alex Beeson David Ireland Giovanni Montana OffRL 43 2 0 17 Nov 2024
Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey Zhihong Liu Xin Xu Peng Qiao Dongsheng Li OffRL 22 2 0 08 Nov 2024
Beyond The Rainbow: High Performance Deep Reinforcement Learning On A Desktop PC Tyler Clark Mark Towers Christine Evers Jonathon Hare OffRL 33 0 0 06 Nov 2024
Dynamic Weight Adjusting Deep Q-Networks for Real-Time Environmental Adaptation Xinhao Zhang Jinghan Zhang Wujun Si Kunpeng Liu 43 0 0 04 Nov 2024
Efficient Diversity-based Experience Replay for Deep Reinforcement Learning Kaiyan Zhao Yiming Wang Yuyang Chen Yan Li Leong Hou U Xiaoguang Niu 36 1 0 27 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 30 3 0 18 Oct 2024
AFlow: Automating Agentic Workflow Generation Jiayi Zhang Jinyu Xiang Zhaoyang Yu Fengwei Teng Xionghui Chen ... Jinlin Wang Bingnan Zheng Bang Liu Yuyu Luo Chenglin Wu AIFin AI4CE 27 31 0 14 Oct 2024
Designing a Classifier for Active Fire Detection from Multispectral Satellite Imagery Using Neural Architecture Search Amber Cassimon Phil Reiter Siegfried Mercelis Kevin Mets 25 0 0 07 Oct 2024
Scalable Reinforcement Learning-based Neural Architecture Search Amber Cassimon Siegfried Mercelis Kevin Mets 53 2 0 02 Oct 2024
Criticality and Safety Margins for Reinforcement Learning Alexander Grushin Walt Woods Alvaro Velasquez Simon Khan AAML 28 1 0 26 Sep 2024
Autonomous Network Defence using Reinforcement Learning Myles Foley Chris Hicks Kate Highnam V. Mavroudis AAML 19 29 0 26 Sep 2024
HistoGym: A Reinforcement Learning Environment for Histopathological Image Analysis Zhi-Bo Liu Xiaobo Pang Jizhao Wang Shuai Liu Chen Li 37 1 0 16 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 30 3 0 11 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
SAPG: Split and Aggregate Policy Gradients Jayesh Singla Ananye Agarwal Deepak Pathak OffRL OnRL 32 3 0 29 Jul 2024
Investigating the Interplay of Prioritized Replay and Generalization Parham Mohammad Panahi Andrew Patterson Martha White Adam White 41 0 0 12 Jul 2024
Simplifying Deep Temporal Difference Learning Matteo Gallici Mattie Fellows Benjamin Ellis B. Pou Ivan Masmitja Jakob Foerster Mario Martin OffRL 62 14 0 05 Jul 2024
Small Scale Data-Free Knowledge Distillation He Liu Yikai Wang Huaping Liu Fuchun Sun Anbang Yao 19 8 0 12 Jun 2024
Highway Reinforcement Learning Yuhui Wang M. Strupl Francesco Faccio Qingyuan Wu Haozhe Liu Michal Grudzieñ Xiaoyang Tan Jürgen Schmidhuber OffRL 27 4 0 28 May 2024
Chaos-based reinforcement learning with TD3 Toshitaka Matsuki Yusuke Sakemi Kazuyuki Aihara 30 0 0 15 May 2024
CIER: A Novel Experience Replay Approach with Causal Inference in Deep Reinforcement Learning Jingwen Wang Dehui Du Yida Li Yiyang Li Yikang Chen AI4TS CML 16 0 0 14 May 2024
RUMOR: Reinforcement learning for Understanding a Model of the Real World for Navigation in Dynamic Environments Diego Martínez Baselga L. Riazuelo Luis Montano 86 1 0 25 Apr 2024
Symmetry-Breaking Augmentations for Ad Hoc Teamwork Ravi Hammond Dustin Craggs Mingyu Guo Jakob Foerster Ian Reid 29 1 0 15 Feb 2024
LL-GABR: Energy Efficient Live Video Streaming Using Reinforcement Learning Adithya Raman B. Turkkan T. Kosar 18 0 0 14 Feb 2024
Abstracted Trajectory Visualization for Explainability in Reinforcement Learning Yoshiki Takagi Roderick S. Tabalba Nurit Kirshenbaum Jason Leigh 14 0 0 05 Feb 2024
Robotic Test Tube Rearrangement Using Combined Reinforcement Learning and Motion Planning Hao Chen Weiwei Wan Masaki Matsushita Takeyuki Kotaka Kensuke Harada 35 1 0 18 Jan 2024
REValueD: Regularised Ensemble Value-Decomposition for Factorisable Markov Decision Processes David Ireland Giovanni Montana 43 3 0 16 Jan 2024
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX Alexander Nikulin Vladislav Kurenkov Ilya Zisman Artem Agarkov Viacheslav Sinii Sergey Kolesnikov 26 25 0 19 Dec 2023
Parameterized Decision-making with Multi-modal Perception for Autonomous Driving Yuyang Xia Shuncheng Liu Quanlin Yu Liwei Deng You Zhang Han Su Kai Zheng 27 49 0 19 Dec 2023
An Invitation to Deep Reinforcement Learning Bernhard Jaeger Andreas Geiger OffRL OOD 78 5 0 13 Dec 2023
Spreeze: High-Throughput Parallel Reinforcement Learning Framework Jing Hou Guang Chen Ruiqi Zhang Zhijun Li Shangding Gu Changjun Jiang OffRL 24 2 0 11 Dec 2023
Efficient Parallel Reinforcement Learning Framework using the Reactor Model Jacky Kwok Marten Lohstroh Edward A. Lee 21 0 0 07 Dec 2023
A Software-Hardware Co-Optimized Toolkit for Deep Reinforcement Learning on Heterogeneous Platforms Yuan Meng Michael Kinsner Deshanand Singh Mahesh Iyer Viktor Prasanna 23 1 0 15 Nov 2023
Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning M. Gerstgrasser Tom Danino Sarah Keren 21 5 0 01 Nov 2023
Reward Scale Robustness for Proximal Policy Optimization via DreamerV3 Tricks Ryan Sullivan Akarsh Kumar Shengyi Huang John P. Dickerson Joseph Suárez OffRL 16 5 0 26 Oct 2023
Using Experience Classification for Training Non-Markovian Tasks Ruixuan Miao Xu Lu Cong Tian Bin Yu Zhenhua Duan OffRL 18 0 0 18 Oct 2023
GreenNFV: Energy-Efficient Network Function Virtualization with Service Level Agreement Constraints M. S. Q. Z. Nine T. Kosar M. F. Bulut Jinho Hwang 19 4 0 17 Oct 2023
LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios Yazhe Niu Yuan Pu Zhenjie Yang Xueyan Li Tong Zhou Jiyuan Ren Shuai Hu Hongsheng Li Yu Liu 90 12 0 12 Oct 2023