Image de couverture de livre

EvoCurr: Self-evolving Curriculum with Behavior Code Generation for Complex Decision-making

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Cheng, Yang, Wang, Zilai, Ma, Weiyu, Zhu, Wenhui, Deng, Yue, Zhao, Jian
Format:	Preprint
Publié:	2025
Sujets:	Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

SMAC-Hard: Enabling Mixed Opponent Strategy Script and Self-play on SMAC
par: Deng, Yue, et autres
Publié: (2024)

SMAC-R1: The Emergence of Intelligence in Decision-Making Tasks
par: Deng, Yue, et autres
Publié: (2024)

A Safe and Efficient Self-evolving Algorithm for Decision-making and Control of Autonomous Driving Systems
par: Yang, Shuo, et autres
Publié: (2024)

EvoCodeBench: A Human-Performance Benchmark for Self-Evolving LLM-Driven Coding Systems
par: Zhang, Wentao, et autres
Publié: (2026)

Fractional Differential Equation Physics-Informed Neural Network and Its Application in Battery State Estimation
par: Dang, Lujuan, et autres
Publié: (2025)

Self-Improving Loops for Visual Robotic Planning
par: Luo, Calvin, et autres
Publié: (2025)

ReflectEvo: Improving Meta Introspection of Small LLMs by Learning Self-Reflection
par: Li, Jiaqi, et autres
Publié: (2025)

F-scheduler: illuminating the free-lunch design space for fast sampling of diffusion models
par: Li, Zilai, et autres
Publié: (2025)

HyEvo: Self-Evolving Hybrid Agentic Workflows for Efficient Reasoning
par: Xu, Beibei, et autres
Publié: (2026)

A Knowledge-driven Adaptive Collaboration of LLMs for Enhancing Medical Decision-making
par: Wu, Xiao, et autres
Publié: (2025)

Logic Distillation: Learning from Code Function by Function for Decision-making Tasks
par: Chen, Dong, et autres
Publié: (2024)

CktEvo: Repository-Level RTL Code Benchmark for Design Evolution
par: Shi, Zhengyuan, et autres
Publié: (2026)

Self-Improving Code Generation via Semantic Entropy and Behavioral Consensus
par: Zhang, Huan, et autres
Publié: (2026)

EvoCodeBench: An Evolving Code Generation Benchmark Aligned with Real-World Code Repositories
par: Li, Jia, et autres
Publié: (2024)

EvoMesh: Adaptive Physical Simulation with Hierarchical Graph Evolutions
par: Deng, Huayu, et autres
Publié: (2024)

CoCoEvo: Co-Evolution of Programs and Test Cases to Enhance Code Generation
par: Li, Kefan, et autres
Publié: (2025)

Hybrid Self-evolving Structured Memory for GUI Agents
par: Zhu, Sibo, et autres
Publié: (2026)

EvoTest: Evolutionary Test-Time Learning for Self-Improving Agentic Systems
par: He, Yufei, et autres
Publié: (2025)

DipLLM: Fine-Tuning LLM for Strategic Decision-making in Diplomacy
par: Xu, Kaixuan, et autres
Publié: (2025)

EvoFSM: Controllable Self-Evolution for Deep Research with Finite State Machines
par: Zhang, Shuo, et autres
Publié: (2026)

EvoEngineer: Mastering Automated CUDA Kernel Code Evolution with Large Language Models
par: Guo, Ping, et autres
Publié: (2025)

RustEvo^2: An Evolving Benchmark for API Evolution in LLM-based Rust Code Generation
par: Liang, Linxi, et autres
Publié: (2025)

RAD: Retrieval High-quality Demonstrations to Enhance Decision-making
par: Guo, Lu, et autres
Publié: (2025)

Towards Robust Sequential Decomposition for Complex Image Editing
par: Zeng, Zilai, et autres
Publié: (2026)

Decision-making with Speculative Opponent Models
par: Sun, Jing, et autres
Publié: (2022)

LeGo-Code: Can Modular Curriculum Learning Advance Complex Code Generation? Insights from Text-to-SQL
par: Chafik, Salmane, et autres
Publié: (2026)

Improving LLM Code Generation via Requirement-Aware Curriculum Reinforcement Learning
par: Yin, Shouyu, et autres
Publié: (2026)

EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithms
par: Yuan, Siyu, et autres
Publié: (2024)

ACPO: Adaptive Curriculum Policy Optimization for Aligning Vision-Language Models in Complex Reasoning
par: Wang, Yunhao, et autres
Publié: (2025)

EvoTool: Self-Evolving Tool-Use Policy Optimization in LLM Agents via Blame-Aware Mutation and Diversity-Aware Selection
par: Yang, Shuo, et autres
Publié: (2026)

AIM-Bench: Evaluating Decision-making Biases of Agentic LLM as Inventory Manager
par: Zhao, Xuhua, et autres
Publié: (2025)

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory
par: Wei, Tianxin, et autres
Publié: (2025)

EvoVerilog: Large Langugage Model Assisted Evolution of Verilog Code
par: Guo, Ping, et autres
Publié: (2025)

EvoCAD: Evolutionary CAD Code Generation with Vision Language Models
par: Preintner, Tobias, et autres
Publié: (2025)

Grounded Answers for Multi-agent Decision-making Problem through Generative World Model
par: Liu, Zeyang, et autres
Publié: (2024)

TCPO: Thought-Centric Preference Optimization for Effective Embodied Decision-making
par: Jiao, Kechen, et autres
Publié: (2025)

EvoClinician: A Self-Evolving Agent for Multi-Turn Medical Diagnosis via Test-Time Evolutionary Learning
par: He, Yufei, et autres
Publié: (2026)

Self-Evolving Curriculum for LLM Reasoning
par: Chen, Xiaoyin, et autres
Publié: (2025)

EvoLM: Self-Evolving Language Models through Co-Evolved Discriminative Rubrics
par: Li, Shuyue Stella, et autres
Publié: (2026)

CoEvoSkills: Self-Evolving Agent Skills via Co-Evolutionary Verification
par: Zhang, Hanrong, et autres
Publié: (2026)