Copertina

Evolutionary Warm-Starts for Reinforcement Learning in Industrial Continuous Control

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Maus, Tom, Frank, Stephan, Glasmachers, Tobias
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Neural and Evolutionary Computing Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Variable Metric Evolution Strategies for High-dimensional Multi-Objective Optimization
di: Glasmachers, Tobias
Pubblicazione: (2024)

Deep-learning-based identification of individual motion characteristics from upper-limb trajectories towards disorder stage evaluation
di: Sziburis, Tim, et al.
Pubblicazione: (2024)

A Superlinearly Convergent Evolution Strategy
di: Glasmachers, Tobias
Pubblicazione: (2025)

ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning
di: Guo, Hongshu, et al.
Pubblicazione: (2024)

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

Code World Models for Parameter Control in Evolutionary Algorithms
di: Sartori, Camilo Chacón, et al.
Pubblicazione: (2026)

Evolutionary Dynamic Optimization and Machine Learning
di: Boulesnane, Abdennour
Pubblicazione: (2023)

Optimizing Monotone Chance-Constrained Submodular Functions Using Evolutionary Multi-Objective Algorithms
di: Neumann, Aneta, et al.
Pubblicazione: (2020)

Multimodal LLM-assisted Evolutionary Search for Programmatic Control Policies
di: Hu, Qinglong, et al.
Pubblicazione: (2025)

Deep Learning-Based Operators for Evolutionary Algorithms
di: Shem-Tov, Eliad, et al.
Pubblicazione: (2024)

Leveraging Evolutionary Surrogate-Assisted Prescription in Multi-Objective Chlorination Control Systems
di: Monsia, Rivaaj, et al.
Pubblicazione: (2025)

Evolutionary Machine Learning meets Self-Supervised Learning: a comprehensive survey
di: Vinhas, Adriano, et al.
Pubblicazione: (2025)

Evolutionary Policy Optimization
di: Mustafaoglu, Zelal Su "Lain", et al.
Pubblicazione: (2025)

Learning to Solve Multiresolution Matrix Factorization by Manifold Optimization and Evolutionary Metaheuristics
di: Hy, Truong Son, et al.
Pubblicazione: (2024)

REACT: Revealing Evolutionary Action Consequence Trajectories for Interpretable Reinforcement Learning
di: Altmann, Philipp, et al.
Pubblicazione: (2024)

Reinforcement Learning-assisted Evolutionary Algorithm: A Survey and Research Opportunities
di: Song, Yanjie, et al.
Pubblicazione: (2023)

Evolutionary Multitasking AUC Optimization
di: Wang, Chao, et al.
Pubblicazione: (2022)

Diffusion Models are Evolutionary Algorithms
di: Zhang, Yanbo, et al.
Pubblicazione: (2024)

Towards Resilient and Sustainable Global Industrial Systems: An Evolutionary-Based Approach
di: Jirkovský, Václav, et al.
Pubblicazione: (2025)

eVAE: Evolutionary Variational Autoencoder
di: Wu, Zhangkai, et al.
Pubblicazione: (2023)

Multi-parameter Control for the $(1+(λ,λ))$-GA on OneMax via Deep Reinforcement Learning
di: Nguyen, Tai, et al.
Pubblicazione: (2025)

Analysis and Explainability of LLMs Via Evolutionary Methods
di: Gallagher, Shannon K., et al.
Pubblicazione: (2026)

Evolutionary Context Search for Automated Skill Acquisition
di: Sun, Qi, et al.
Pubblicazione: (2026)

Natural Evolutionary Search meets Probabilistic Numerics
di: Osselin, Pierre, et al.
Pubblicazione: (2025)

Experience-Based Evolutionary Algorithms for Expensive Optimization
di: Yu, Xunzhao, et al.
Pubblicazione: (2023)

Neuro-Evolutionary Approach to Physics-Aware Symbolic Regression
di: Kubalík, Jiří, et al.
Pubblicazione: (2025)

Sharpness-Aware Minimization for Evolutionary Feature Construction in Regression
di: Zhang, Hengzhe, et al.
Pubblicazione: (2024)

Learning to Forget: Continual Learning with Adaptive Weight Decay
di: Ramesh, Aditya A., et al.
Pubblicazione: (2026)

Morephy-Net: An Evolutionary Multi-objective Optimization for Replica-Exchange-based Physics-informed Neural Operator Learning Networks
di: Lu, Binghang, et al.
Pubblicazione: (2025)

Exploring the Improvement of Evolutionary Computation via Large Language Models
di: Cai, Jinyu, et al.
Pubblicazione: (2024)

RUMC: A Rule-based Classifier Inspired by Evolutionary Methods
di: Mokhtari, Melvin
Pubblicazione: (2024)

Interpretable Non-linear Survival Analysis with Evolutionary Symbolic Regression
di: Rovito, Luigi, et al.
Pubblicazione: (2025)

A Novel Multi-Objective Evolutionary Algorithm for Counterfactual Generation
di: Doyle-Finch, Gabriel, et al.
Pubblicazione: (2025)

A Neural-Evolutionary Algorithm for Autonomous Transit Network Design
di: Holliday, Andrew, et al.
Pubblicazione: (2024)

Speeding-up Evolutionary Algorithms to solve Black-Box Optimization Problems
di: Echevarrieta, Judith, et al.
Pubblicazione: (2023)

Multi-Objective Evolutionary Neural Architecture Search for Recurrent Neural Networks
di: Booysen, Reinhard, et al.
Pubblicazione: (2024)

Model Uncertainty in Evolutionary Optimization and Bayesian Optimization: A Comparative Analysis
di: Hao, Hao, et al.
Pubblicazione: (2024)

Warm Starting of CMA-ES for Contextual Optimization Problems
di: Sekino, Yuta, et al.
Pubblicazione: (2025)

Hard-Thresholding Meets Evolution Strategies in Reinforcement Learning
di: Gao, Chengqian, et al.
Pubblicazione: (2024)

Utilizing Evolution Strategies to Train Transformers in Reinforcement Learning
di: Lorenc, Matyáš, et al.
Pubblicazione: (2025)