Cover Image

EvoRL: A GPU-accelerated Framework for Evolutionary Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zheng, Bowen, Cheng, Ran, Tan, Kay Chen
Format:	Preprint
Published:	2025
Subjects:	Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

EvoX: A Distributed GPU-accelerated Framework for Scalable Evolutionary Computation
by: Huang, Beichen, et al.
Published: (2023)

GPU-accelerated Evolutionary Multiobjective Optimization Using Tensorized RVEA
by: Liang, Zhenyu, et al.
Published: (2024)

GPU-accelerated Evolutionary Many-objective Optimization Using Tensorized NSGA-III
by: Li, Hao, et al.
Published: (2025)

EvoGM: Learning to Merge LLMs via Evolutionary Generative Optimization
by: Jiang, Tao, et al.
Published: (2026)

Evolutionary Generative Optimization: Towards Fully Data-Driven Evolutionary Optimization via Generative Learning
by: Jiang, Tao, et al.
Published: (2025)

Scaling Behaviors of Evolutionary Algorithms on GPUs: When Does Parallelism Pay Off?
by: Yu, Xinmeng, et al.
Published: (2026)

Bridging Evolutionary Multiobjective Optimization and GPU Acceleration via Tensorization
by: Liang, Zhenyu, et al.
Published: (2025)

TensorNEAT: A GPU-accelerated Library for NeuroEvolution of Augmenting Topologies
by: Wang, Lishuang, et al.
Published: (2025)

A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving
by: Zhang, Yisong, et al.
Published: (2025)

Fully Tensorized GPU-accelerated Multi-population Evolutionary Algorithm for Constrained Multiobjective Optimization Problems
by: Huang, Weixiong, et al.
Published: (2025)

Learning to Evolve for Optimization via Stability-Inducing Neural Unrolling
by: Gao, Jiaxin, et al.
Published: (2025)

Learning to Transfer for Evolutionary Multitasking
by: Wu, Sheng-Hao, et al.
Published: (2024)

Learning Where, What and How to Transfer: A Multi-Role Reinforcement Learning Approach for Evolutionary Multitasking
by: Zhan, Jiajun, et al.
Published: (2025)

EvoSyn: Generalizable Evolutionary Data Synthesis for Verifiable Learning
by: Du, He, et al.
Published: (2025)

Large Language Model-Aided Evolutionary Search for Constrained Multiobjective Optimization
by: Wang, Zeyi, et al.
Published: (2024)

ParetoLens: A Visual Analytics Framework for Exploring Solution Sets of Multi-objective Evolutionary Algorithms
by: Ma, Yuxin, et al.
Published: (2025)

G-EvoNAS: Evolutionary Neural Architecture Search Based on Network Growth
by: Zou, Juan, et al.
Published: (2024)

Tensorized Ant Colony Optimization for GPU Acceleration
by: Yang, Luming, et al.
Published: (2024)

EvoGit: Decentralized Code Evolution via Git-Based Multi-Agent Collaboration
by: Huang, Beichen, et al.
Published: (2025)

A Theoretical Analysis of Analogy-Based Evolutionary Transfer Optimization
by: Xue, Xiaoming, et al.
Published: (2025)

Evolutionary Reinforcement Learning: A Systematic Review and Future Directions
by: Lin, Yuanguo, et al.
Published: (2024)

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation
by: Luo, Liu-Yue, et al.
Published: (2025)

Towards Multi-Objective High-Dimensional Feature Selection via Evolutionary Multitasking
by: Feng, Yinglan, et al.
Published: (2024)

Towards Automated Knowledge Transfer in Evolutionary Multitasking via Large Language Models
by: Lyu, Xuebin, et al.
Published: (2024)

Tensorized NeuroEvolution of Augmenting Topologies for GPU Acceleration
by: Wang, Lishuang, et al.
Published: (2024)

Evolutionary Reinforcement Learning for Interpretable Decision-Making in Supply Chain Management
by: Genetti, Stefano, et al.
Published: (2025)

Exploring the True Potential: Evaluating the Black-box Optimization Capability of Large Language Models
by: Huang, Beichen, et al.
Published: (2024)

A Two-stage Evolutionary Framework For Multi-objective Optimization
by: Chen, Peng, et al.
Published: (2024)

Spatio-Temporal Decoupled Learning for Spiking Neural Networks
by: Ma, Chenxiang, et al.
Published: (2025)

First Mathematical Runtime Analyses of Multi-Objective Evolutionary Algorithms for Multi-Valued Decision Variables
by: Li, Mingfeng, et al.
Published: (2026)

A Multi-objective Evolutionary Algorithm Based on Bi-population with Uniform Sampling for Neural Architecture Search
by: Xue, Yu, et al.
Published: (2026)

EvoGrad: Metaheuristics in a Differentiable Wonderland
by: Citterio, Beatrice F. R., et al.
Published: (2025)

Migrant Resettlement by Evolutionary Multi-objective Optimization
by: Liu, Dan-Xuan, et al.
Published: (2023)

MBL-CPDP: A Multi-objective Bilevel Method for Cross-Project Defect Prediction via Automated Machine Learning
by: Chen, Jiaxin, et al.
Published: (2024)

Reinforcement Learning Informed Evolutionary Search for Autonomous Systems Testing
by: Humeniuk, Dmytro, et al.
Published: (2023)

Efficient Online Learning for Networks of Two-Compartment Spiking Neurons
by: Yin, Yujia, et al.
Published: (2024)

EvoJail: Evolutionary Diverse Jailbreak Prompt Generation for Large Language Models
by: Tang, Rui, et al.
Published: (2026)

A GPU Implementation of Multi-Guiding Spark Fireworks Algorithm for Efficient Black-Box Neural Network Optimization
by: Meng, Xiangrui, et al.
Published: (2025)

Aerial Reliable Collaborative Communications for Terrestrial Mobile Users via Evolutionary Multi-Objective Deep Reinforcement Learning
by: Sun, Geng, et al.
Published: (2025)

Evolutionary Reinforcement Learning via Cooperative Coevolution
by: Hu, Chengpeng, et al.
Published: (2024)