Cover Image

An Open-source End-to-End Logic Optimization Framework for Large-scale Boolean Network with Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Zhen, Zhu, Kaixiang, Zhou, Xuegong, Wang, Lingli
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DeepTravel: An End-to-End Agentic Reinforcement Learning Framework for Autonomous Travel Planning Agents
by: Ning, Yansong, et al.
Published: (2025)

EndToEndML: An Open-Source End-to-End Pipeline for Machine Learning Applications
by: Pillai, Nisha, et al.
Published: (2024)

End-to-End Neuro-Symbolic Reinforcement Learning with Textual Explanations
by: Luo, Lirui, et al.
Published: (2024)

Hierarchical End-to-End Autonomous Driving: Integrating BEV Perception with Deep Reinforcement Learning
by: Lu, Siyi, et al.
Published: (2024)

AnyBipe: An End-to-End Framework for Training and Deploying Bipedal Robots Guided by Large Language Models
by: Yao, Yifei, et al.
Published: (2024)

BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning
by: Pan, Jianming, et al.
Published: (2024)

End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty
by: Dinh, My H, et al.
Published: (2024)

Reinforced Reasoning for End-to-End Retrosynthetic Planning
by: Zuo, Chenyang, et al.
Published: (2026)

Constraint-Informed Active Learning for End-to-End ACOPF Optimization Proxies
by: Li, Miao, et al.
Published: (2025)

ComputerRL: Scaling End-to-End Online Reinforcement Learning for Computer Use Agents
by: Lai, Hanyu, et al.
Published: (2025)

End-To-End Training and Testing Gamification Framework to Learn Human Highway Driving
by: Jaladi, Satya R., et al.
Published: (2024)

E2E Parking Dataset: An Open Benchmark for End-to-End Autonomous Parking
by: Gao, Kejia, et al.
Published: (2025)

An End-to-End Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drones
by: Zeng, Taihelong, et al.
Published: (2025)

EVA: Efficient Reinforcement Learning for End-to-End Video Agent
by: Zhang, Yaolun, et al.
Published: (2026)

MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning
by: Zhang, Yaolun, et al.
Published: (2026)

Training Multi-Image Vision Agents via End2End Reinforcement Learning
by: Dong, Chengqi, et al.
Published: (2025)

Meta-Harness: End-to-End Optimization of Model Harnesses
by: Lee, Yoonho, et al.
Published: (2026)

OpenS2S: Advancing Fully Open-Source End-to-End Empathetic Large Speech Language Model
by: Wang, Chen, et al.
Published: (2025)

DSLUT: An Asymmetric LUT and its Automatic Design Flow Based on Practical Functions
by: Yang, Moucheng, et al.
Published: (2025)

Dynamic Long Context Reasoning over Compressed Memory via End-to-End Reinforcement Learning
by: Chen, Zhuoen, et al.
Published: (2026)

End-to-End Optimization and Learning of Fair Court Schedules
by: Dinh, My H, et al.
Published: (2024)

Large Language Models as End-to-end Combinatorial Optimization Solvers
by: Jiang, Xia, et al.
Published: (2025)

End-to-End Probabilistic Framework for Learning with Hard Constraints
by: Utkarsh, Utkarsh, et al.
Published: (2025)

In-Context Autonomous Network Incident Response: An End-to-End Large Language Model Agent Approach
by: Gao, Yiran, et al.
Published: (2026)

A Provable Approach for End-to-End Safe Reinforcement Learning
by: Wachi, Akifumi, et al.
Published: (2025)

End-to-End Reinforcement Learning of Curative Curtailment with Partial Measurement Availability
by: Wolf, Hinrikus, et al.
Published: (2024)

End-to-End Framework Integrating Generative AI and Deep Reinforcement Learning for Autonomous Ultrasound Scanning
by: Elmekki, Hanae, et al.
Published: (2025)

End-to-End Crop Row Navigation via LiDAR-Based Deep Reinforcement Learning
by: Mineiro, Ana Luiza, et al.
Published: (2025)

AutoGraph-R1: End-to-End Reinforcement Learning for Knowledge Graph Construction
by: Tsang, Hong Ting, et al.
Published: (2025)

Vision-Proprioception Fusion with Mamba2 in End-to-End Reinforcement Learning for Motion Control
by: Tao, Xiaowen, et al.
Published: (2025)

End-to-End Optimization of LLM-Driven Multi-Agent Search Systems via Heterogeneous-Group-Based Reinforcement Learning
by: Chen, Guanzhong, et al.
Published: (2025)

ORMind: A Cognitive-Inspired End-to-End Reasoning Framework for Operations Research
by: Wang, Zhiyuan, et al.
Published: (2025)

EVC-MF: End-to-end Video Captioning Network with Multi-scale Features
by: Niu, Tian-Zi, et al.
Published: (2024)

AgenticRec: End-to-End Tool-Integrated Policy Optimization for Ranking-Oriented Recommender Agents
by: Li, Tianyi, et al.
Published: (2026)

MemSearcher: Training LLMs to Reason, Search and Manage Memory via End-to-End Reinforcement Learning
by: Yuan, Qianhao, et al.
Published: (2025)

Learning to Communicate: Toward End-to-End Optimization of Multi-Agent Language Systems
by: Yu, Ye, et al.
Published: (2026)

ORCA: An End-to-End Interactive Copilot for Optimized Root Cause Analysis
by: Xuan, Phi Nguyen, et al.
Published: (2026)

End-To-End Clinical Trial Matching with Large Language Models
by: Ferber, Dyke, et al.
Published: (2024)

Evolving-RL: End-to-End Optimization of Experience-Driven Self-Evolving Capability within Agents
by: Fan, Zhiyuan, et al.
Published: (2026)

An End-to-End Homomorphically Encrypted Neural Network
by: Florencio, Marcos, et al.
Published: (2025)