:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Zhou, Xiaojun
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2505.01036
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Lock-in Hypothesis: Stagnation by Algorithm
by: Qiu, Tianyi Alex, et al.
Published: (2025)

Escaping Optimization Stagnation: Taking Steps Beyond Task Arithmetic via Difference Vectors
by: Wang, Jinping, et al.
Published: (2025)

Graph-Driven Cross-Industry Real-Time Monitoring Framework for Anti-Money Laundering Detection in Converged Mobility-Energy Supply Chain Networks
by: Liu, Rong, et al.
Published: (2026)

Evolutionary Discovery of Reinforcement Learning Algorithms via Large Language Models
by: Sygkounas, Alkis, et al.
Published: (2026)

On the Convergence of Loss and Uncertainty-based Active Learning Algorithms
by: Haimovich, Daniel, et al.
Published: (2023)

Triadic-OCD: Asynchronous Online Change Detection with Provable Robustness, Optimality, and Convergence
by: Huang, Yancheng, et al.
Published: (2024)

Global Convergence for Average Reward Constrained MDPs with Primal-Dual Actor Critic Algorithm
by: Xu, Yang, et al.
Published: (2025)

Reinforcement Learning in Switching Non-Stationary Markov Decision Processes: Algorithms and Convergence Analysis
by: Amiri, Mohsen, et al.
Published: (2025)

Evolutionary Algorithm for Reservoir Learning and Yielding
by: Testu, Julien, et al.
Published: (2026)

Unsupervised Evolutionary Cell Type Matching via Entropy-Minimized Optimal Transport
by: Qiao, Mu
Published: (2025)

A Plug-and-Play Fully On-the-Job Real-Time Reinforcement Learning Algorithm for a Direct-Drive Tandem-Wing Experiment Platforms Under Multiple Random Operating Conditions
by: Minghao, Zhang, et al.
Published: (2024)

An Inverse Modeling Constrained Multi-Objective Evolutionary Algorithm Based on Decomposition
by: Farias, Lucas R. C., et al.
Published: (2024)

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

Surrogate-Assisted Evolutionary Reinforcement Learning Based on Autoencoder and Hyperbolic Neural Network
by: Li, Bingdong, et al.
Published: (2025)

Accelerating Reinforcement Learning Algorithms Convergence using Pre-trained Large Language Models as Tutors With Advice Reusing
by: Toral, Lukas, et al.
Published: (2025)

Fairness-aware Multiobjective Evolutionary Learning
by: Zhang, Qingquan, et al.
Published: (2024)

Convergence of Some Convex Message Passing Algorithms to a Fixed Point
by: Voracek, Vaclav, et al.
Published: (2024)

Evolutionary Policy Optimization
by: Wang, Jianren, et al.
Published: (2025)

To See Far, Look Close: Evolutionary Forecasting for Long-term Time Series
by: Ma, Jiaming, et al.
Published: (2026)

CR-BLEA: Contrastive Ranking for Adaptive Resource Allocation in Bilevel Evolutionary Algorithms
by: Xu, Dejun, et al.
Published: (2025)

Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning
by: Liu, Zhishuai, et al.
Published: (2024)

Theoretical Analysis of Meta Reinforcement Learning: Generalization Bounds and Convergence Guarantees
by: Wang, Cangqing, et al.
Published: (2024)

Enhancing Convergence in Federated Learning: A Contribution-Aware Asynchronous Approach
by: Xu, Changxin, et al.
Published: (2024)

RS-ORT: A Reduced-Space Branch-and-Bound Algorithm for Optimal Regression Trees
by: Heredia, Cristobal, et al.
Published: (2025)

Near-Optimal Algorithms for Constrained k-Center Clustering with Instance-level Background Knowledge
by: Guo, Longkun, et al.
Published: (2024)

Efficient Last-iterate Convergence Algorithms in Solving Games
by: Meng, Linjian, et al.
Published: (2023)

Reinforcement Learning-based Feature Generation Algorithm for Scientific Data
by: Xiao, Meng, et al.
Published: (2025)

From Generative AI to Innovative AI: An Evolutionary Roadmap
by: Mohammadabadi, Seyed Mahmoud Sajjadi
Published: (2025)

DEI: Diversity in Evolutionary Inference for Quality-Diversity Search
by: Donaghy, John, et al.
Published: (2026)

Evolutionary System Prompt Learning for Reinforcement Learning in LLMs
by: Zhang, Lunjun, et al.
Published: (2026)

LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm
by: Liu, Dazhuang, et al.
Published: (2024)

New Hybrid Fine-Tuning Paradigm for LLMs: Algorithm Design and Convergence Analysis Framework
by: Ma, Shaocong, et al.
Published: (2026)

Fractional-order Jacobian Matrix Differentiation and Its Application in Artificial Neural Networks
by: zhou, Xiaojun, et al.
Published: (2025)

On the Convergence of Experience Replay in Policy Optimization: Characterizing Bias, Variance, and Finite-Time Convergence
by: Zheng, Hua, et al.
Published: (2021)

FRoD: Full-Rank Efficient Fine-Tuning with Rotational Degrees for Fast Convergence
by: Wan, Guoan, et al.
Published: (2025)

ATHENA: Agentic Team for Hierarchical Evolutionary Numerical Algorithms
by: Toscano, Juan Diego, et al.
Published: (2025)

ELATE: Evolutionary Language model for Automated Time-series Engineering
by: Murray, Andrew, et al.
Published: (2025)

AFed: Algorithmic Fair Federated Learning
by: Chen, Huiqiang, et al.
Published: (2025)

Do Vendi Scores Converge with Finite Samples? Truncated Vendi Score for Finite-Sample Convergence Guarantees
by: Ospanov, Azim, et al.
Published: (2024)

Optimal Bayesian Stopping for Efficient Inference of Consistent LLM Answers
by: Huang, Jingkai, et al.
Published: (2026)