Code Evolution for Control: Synthesizing Policies via LLM-Driven Evolutionary Search
Fuente:
arXiv
Saved in:
| Main Authors: | Guo, Ping, Li, Chao, Feng, Yinglan, Zhang, Chaoning |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
AutoICE: Automatically Synthesizing Verifiable C Code via LLM-driven Evolution
by: Luo, Weilin, et al.
Published: (2025)
by: Luo, Weilin, et al.
Published: (2025)
Evolutionary Discovery of Bivariate Bicycle Codes with LLM-Guided Search
by: Cruz-Benito, Juan, et al.
Published: (2026)
by: Cruz-Benito, Juan, et al.
Published: (2026)
Evolutionary Discovery of Heuristic Policies for Traffic Signal Control
by: Wang, Ruibing, et al.
Published: (2025)
by: Wang, Ruibing, et al.
Published: (2025)
Issue Localization via LLM-Driven Iterative Code Graph Searching
by: Jiang, Zhonghao, et al.
Published: (2025)
by: Jiang, Zhonghao, et al.
Published: (2025)
Synthesizing Interpretable Control Policies through Large Language Model Guided Search
by: Bosio, Carlo, et al.
Published: (2024)
by: Bosio, Carlo, et al.
Published: (2024)
New Bounds for Zarankiewicz Numbers via Reinforced LLM Evolutionary Search
by: Bhan, Jay, et al.
Published: (2026)
by: Bhan, Jay, et al.
Published: (2026)
Policy of Thoughts: Scaling LLM Reasoning via Test-time Policy Evolution
by: Jiao, Zhengbo, et al.
Published: (2026)
by: Jiao, Zhengbo, et al.
Published: (2026)
SignalClaw: LLM-Guided Evolutionary Synthesis of Interpretable Traffic Signal Control Skills
by: Lei, Da, et al.
Published: (2026)
by: Lei, Da, et al.
Published: (2026)
LLM-Driven Policy Diffusion: Enhancing Generalization in Offline Reinforcement Learning
by: Zhang, Hanping, et al.
Published: (2025)
by: Zhang, Hanping, et al.
Published: (2025)
MappingEvolve: LLM-Driven Code Evolution for Technology Mapping
by: Fu, Rongliang, et al.
Published: (2026)
by: Fu, Rongliang, et al.
Published: (2026)
QuantaAlpha: An Evolutionary Framework for LLM-Driven Alpha Mining
by: Han, Jun, et al.
Published: (2026)
by: Han, Jun, et al.
Published: (2026)
Neural Internal Model Control: Learning a Robust Control Policy via Predictive Error Feedback
by: Gao, Feng, et al.
Published: (2024)
by: Gao, Feng, et al.
Published: (2024)
Lightweight LLM Agent Memory with Small Language Models
by: Zhang, Jiaquan, et al.
Published: (2026)
by: Zhang, Jiaquan, et al.
Published: (2026)
A Complete Survey on LLM-based AI Chatbots
by: Dam, Sumit Kumar, et al.
Published: (2024)
by: Dam, Sumit Kumar, et al.
Published: (2024)
Optimizing Instruction Synthesis: Effective Exploration of Evolutionary Space with Tree Search
by: Li, Chenglin, et al.
Published: (2024)
by: Li, Chenglin, et al.
Published: (2024)
Policy Guided Tree Search for Enhanced LLM Reasoning
by: Li, Yang
Published: (2025)
by: Li, Yang
Published: (2025)
COEVO: Co-Evolutionary Framework for Joint Functional Correctness and PPA Optimization in LLM-Based RTL Generation
by: Ping, Heng, et al.
Published: (2026)
by: Ping, Heng, et al.
Published: (2026)
Efficient and Interpretable Multi-Agent LLM Routing via Ant Colony Optimization
by: Wang, Xudong, et al.
Published: (2026)
by: Wang, Xudong, et al.
Published: (2026)
A Policy-Driven Runtime Layer for Agentic LLM Serving
by: Zhang, Rui, et al.
Published: (2026)
by: Zhang, Rui, et al.
Published: (2026)
EvoVerilog: Large Langugage Model Assisted Evolution of Verilog Code
by: Guo, Ping, et al.
Published: (2025)
by: Guo, Ping, et al.
Published: (2025)
RankEvolve: Automating the Discovery of Retrieval Algorithms via LLM-Driven Evolution
by: Nian, Jinming, et al.
Published: (2026)
by: Nian, Jinming, et al.
Published: (2026)
Inference-Time Budget Control for LLM Search Agents
by: Fang, Zhengru, et al.
Published: (2026)
by: Fang, Zhengru, et al.
Published: (2026)
Code Driven Planning with Domain-Adaptive Critic
by: Tian, Zikang, et al.
Published: (2025)
by: Tian, Zikang, et al.
Published: (2025)
Tool-Aided Evolutionary LLM for Generative Policy Toward Efficient Resource Management in Wireless Federated Learning
by: Tan, Chongyang, et al.
Published: (2025)
by: Tan, Chongyang, et al.
Published: (2025)
MIH-TCCT: Mitigating Inconsistent Hallucinations in LLMs via Event-Driven Text-Code Cyclic Training
by: You, Xinxin, et al.
Published: (2025)
by: You, Xinxin, et al.
Published: (2025)
POET: Power-Oriented Evolutionary Tuning for LLM-Based RTL PPA Optimization
by: Ping, Heng, et al.
Published: (2026)
by: Ping, Heng, et al.
Published: (2026)
CATArena: Evaluating Evolutionary Capabilities of Code Agents via Iterative Tournaments
by: Fu, Lingyue, et al.
Published: (2025)
by: Fu, Lingyue, et al.
Published: (2025)
CLPO: Curriculum Learning meets Policy Optimization for LLM Reasoning
by: Zhang, Shijie, et al.
Published: (2025)
by: Zhang, Shijie, et al.
Published: (2025)
A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks
by: Li, Xinzhe
Published: (2025)
by: Li, Xinzhe
Published: (2025)
CAP-CoT: Cycle Adversarial Prompt for Improving Chain of Thoughts in LLM Reasoning
by: Chen, Shuxu, et al.
Published: (2026)
by: Chen, Shuxu, et al.
Published: (2026)
Credo: Declarative Control of LLM Pipelines via Beliefs and Policies
by: Lu, Duo, et al.
Published: (2026)
by: Lu, Duo, et al.
Published: (2026)
MDD-5k: A New Diagnostic Conversation Dataset for Mental Disorders Synthesized via Neuro-Symbolic LLM Agents
by: Yin, Congchi, et al.
Published: (2024)
by: Yin, Congchi, et al.
Published: (2024)
LoongFlow: Directed Evolutionary Search via a Cognitive Plan-Execute-Summarize Paradigm
by: Wan, Chunhui, et al.
Published: (2025)
by: Wan, Chunhui, et al.
Published: (2025)
Controlled Self-Evolution for Algorithmic Code Optimization
by: Hu, Tu, et al.
Published: (2026)
by: Hu, Tu, et al.
Published: (2026)
Synthesizing Programmatic Reinforcement Learning Policies with Large Language Model Guided Search
by: Liu, Max, et al.
Published: (2024)
by: Liu, Max, et al.
Published: (2024)
Knowledge-aware Evolutionary Graph Neural Architecture Search
by: Wang, Chao, et al.
Published: (2024)
by: Wang, Chao, et al.
Published: (2024)
CodeEvolve: LLM-Driven Evolutionary Optimization with Runtime-Enriched Target Selection for Multi-Language Code Enhancement
by: Borra, Ajay Krishna, et al.
Published: (2026)
by: Borra, Ajay Krishna, et al.
Published: (2026)
XSearch: Explainable Code Search via Concept-to-Code Alignment
by: Liu, Yiming, et al.
Published: (2026)
by: Liu, Yiming, et al.
Published: (2026)
Interactive LLM-assisted Curriculum Learning for Multi-Task Evolutionary Policy Search
by: Sakallioglu, Berfin, et al.
Published: (2026)
by: Sakallioglu, Berfin, et al.
Published: (2026)
Enhancing LLM-based Search Agents via Contribution Weighted Group Relative Policy Optimization
by: Wang, Junzhe, et al.
Published: (2026)
by: Wang, Junzhe, et al.
Published: (2026)
Similar Items
-
AutoICE: Automatically Synthesizing Verifiable C Code via LLM-driven Evolution
by: Luo, Weilin, et al.
Published: (2025) -
Evolutionary Discovery of Bivariate Bicycle Codes with LLM-Guided Search
by: Cruz-Benito, Juan, et al.
Published: (2026) -
Evolutionary Discovery of Heuristic Policies for Traffic Signal Control
by: Wang, Ruibing, et al.
Published: (2025) -
Issue Localization via LLM-Driven Iterative Code Graph Searching
by: Jiang, Zhonghao, et al.
Published: (2025) -
Synthesizing Interpretable Control Policies through Large Language Model Guided Search
by: Bosio, Carlo, et al.
Published: (2024)