Cover Image

Expanding Horizons of Level Diversity via Multi-objective Evolutionary Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Qingquan, Wang, Ziqi, Li, Yuchen, Zhang, Keyuan, Yuan, Bo, Liu, Jialin
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning
by: Zhang, Qingquan, et al.
Published: (2022)

Interpreting Multi-objective Evolutionary Algorithms via Sokoban Level Generation
by: Zhang, Qingquan, et al.
Published: (2024)

Measuring Diversity of Game Scenarios
by: Li, Yuchen, et al.
Published: (2024)

Exploring Accuracy-Fairness Trade-off in Large Language Models
by: Zhang, Qingquan, et al.
Published: (2024)

Learning-augmented Online Algorithm for Two-level Ski-rental Problem
by: Zhang, Keyuan, et al.
Published: (2024)

Learning-augmented Online Minimization of Age of Information and Transmission Costs
by: Liu, Zhongdong, et al.
Published: (2024)

Learning Intractable Multimodal Policies with Reparameterization and Diversity Regularization
by: Wang, Ziqi, et al.
Published: (2025)

Multimodal Remote Inference
by: Zhang, Keyuan, et al.
Published: (2025)

What If the Input is Expanded in OOD Detection?
by: Zhang, Boxuan, et al.
Published: (2024)

Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching
by: Zhang, Yuchen, et al.
Published: (2024)

ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons
by: Zhang, Jiawen, et al.
Published: (2023)

Enhancing Document-Level Question Answering via Multi-Hop Retrieval-Augmented Generation with LLaMA 3
by: Huang, Xinyue, et al.
Published: (2025)

PACEvolve++: Improving Test-time Learning for Evolutionary Search Agents
by: Yan, Minghao, et al.
Published: (2026)

Locate-then-edit for Multi-hop Factual Recall under Knowledge Editing
by: Zhang, Zhuoran, et al.
Published: (2024)

SEC-bench Pro: Can Language Models Solve Long-Horizon Software Security Tasks?
by: Lee, Hwiwon, et al.
Published: (2026)

Improved Bounds for Pure Private Agnostic Learning: Item-Level and User-Level Privacy
by: Li, Bo, et al.
Published: (2024)

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

Minimax-Optimal Multi-Agent Robust Reinforcement Learning
by: Jiao, Yuchen, et al.
Published: (2024)

Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback
by: Zhao, Boxin, et al.
Published: (2021)

Pareto-wise Ranking Classifier for Multi-objective Evolutionary Neural Architecture Search
by: Ma, Lianbo, et al.
Published: (2021)

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling
by: Wei, Yipan, et al.
Published: (2025)

First-Order Efficiency for Probabilistic Value Estimation via A Statistical Viewpoint
by: Liu, Ziqi, et al.
Published: (2026)

DMAGT: Unveiling miRNA-Drug Associations by Integrating SMILES and RNA Sequence Structures through Graph Transformer Models
by: Zhang, Ziqi
Published: (2025)

DyDiff: Long-Horizon Rollout via Dynamics Diffusion for Offline Reinforcement Learning
by: Zhao, Hanye, et al.
Published: (2024)

GeoShapley: A Game Theory Approach to Measuring Spatial Effects in Machine Learning Models
by: Li, Ziqi
Published: (2023)

Priority-Aware Shapley Value
by: Lee, Kiljae, et al.
Published: (2026)

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

Resource Efficient Sleep Staging via Multi-Level Masking and Prompt Learning
by: Ai, Lejun, et al.
Published: (2025)

Question-Adaptive Graph Learning for Multi-hop Retrieval Augmented Generation
by: Yan, Yuchen, et al.
Published: (2025)

Semi-adaptive Synergetic Two-way Pseudoinverse Learning System
by: Liu, Binghong, et al.
Published: (2024)

Structured Learning of Compositional Sequential Interventions
by: Yu, Jialin, et al.
Published: (2024)

Multi-Modal Time Series Prediction via Mixture of Modulated Experts
by: Zhang, Lige, et al.
Published: (2026)

Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization
by: Qiu, Jiahao, et al.
Published: (2024)

LERO: LLM-driven Evolutionary framework with Hybrid Rewards and Enhanced Observation for Multi-Agent Reinforcement Learning
by: Wei, Yuan, et al.
Published: (2025)

Multi-Horizon Representations with Hierarchical Forward Models for Reinforcement Learning
by: McInroe, Trevor, et al.
Published: (2022)

AGILE: A Novel Reinforcement Learning Framework of LLM Agents
by: Feng, Peiyuan, et al.
Published: (2024)

Episodic Reinforcement Learning with Expanded State-reward Space
by: Liang, Dayang, et al.
Published: (2024)

Where to Build Food Banks and Pantries: A Two-Level Machine Learning Approach
by: Ruan, Gavin, et al.
Published: (2024)

Geminio: Language-Guided Gradient Inversion Attacks in Federated Learning
by: Shan, Junjie, et al.
Published: (2024)