Cover Image

Supply Chain Optimization via Generative Simulation and Iterative Decision Policies

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bai, Haoyue, Wang, Haoyu, Gong, Nanxu, Wang, Xinyuan, Ying, Wangyang, Chen, Haifeng, Fu, Yanjie
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Agentic Feature Augmentation: Unifying Selection and Generation with Teaming, Planning, and Memories
by: Gong, Nanxu, et al.
Published: (2025)

Bridging the Domain Gap in Equation Distillation with Reinforcement Feedback
by: Ying, Wangyang, et al.
Published: (2025)

LLM-ML Teaming: Integrated Symbolic Decoding and Gradient Search for Valid and Stable Generative Feature Transformation
by: Wang, Xinyuan, et al.
Published: (2025)

Efficient Post-Training Refinement of Latent Reasoning in Large Language Models
by: Wang, Xinyuan, et al.
Published: (2025)

Data-Efficient Symbolic Regression via Foundation Model Distillation
by: Ying, Wangyang, et al.
Published: (2025)

Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming
by: Gong, Nanxu, et al.
Published: (2025)

A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective
by: Ying, Wangyang, et al.
Published: (2025)

Topology-aware Reinforcement Feature Space Reconstruction for Graph Data
by: Ying, Wangyang, et al.
Published: (2024)

Knockoff-Guided Feature Selection via A Single Pre-trained Reinforced Agent
by: Wang, Xinyuan, et al.
Published: (2024)

Brownian Bridge Augmented Surrogate Simulation and Injection Planning for Geological CO$_2$ Storage
by: Bai, Haoyue, et al.
Published: (2025)

Towards Data-Centric AI: A Comprehensive Survey of Traditional, Reinforcement, and Generative Approaches for Tabular Data Transformation
by: Wang, Dongjie, et al.
Published: (2025)

Neuro-Symbolic Embedding for Short and Effective Feature Selection via Autoregressive Generation
by: Gong, Nanxu, et al.
Published: (2024)

Sculpting Features from Noise: Reward-Guided Hierarchical Diffusion for Task-Optimal Feature Transformation
by: Gong, Nanxu, et al.
Published: (2025)

Autonomous Data Agents: A New Opportunity for Smart Data
by: Fu, Yanjie, et al.
Published: (2025)

Evolutionary Large Language Model for Automated Feature Transformation
by: Gong, Nanxu, et al.
Published: (2024)

Evolving Demonstration Optimization for Chain-of-Thought Feature Transformation
by: Wang, Xinyuan, et al.
Published: (2026)

Unsupervised Generative Feature Transformation via Graph Contrastive Pre-training and Multi-objective Fine-tuning
by: Ying, Wangyang, et al.
Published: (2024)

Causally-Guided Automated Feature Engineering with Multi-Agent Reinforcement Learning
by: Malarkkan, Arun Vignesh, et al.
Published: (2026)

Multi-Agent Procedural Graph Extraction with Structural and Logical Refinement
by: Ying, Wangyang, et al.
Published: (2026)

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures
by: Malarkkan, Arun Vignesh, et al.
Published: (2025)

Revolutionizing Biomarker Discovery: Leveraging Generative AI for Bio-Knowledge-Embedded Continuous Space Exploration
by: Ying, Wangyang, et al.
Published: (2024)

Sim2Act: Robust Simulation-to-Decision Learning via Adversarial Calibration and Group-Relative Perturbation
by: Cao, Hongyu, et al.
Published: (2026)

To Think or Not To Think, That is The Question for Large Reasoning Models in Theory of Mind Tasks
by: Gong, Nanxu, et al.
Published: (2026)

Does Theory of Mind Improvement Really Benefit Human-AI Interactions? Empirical Findings from Interactive Evaluations
by: Gong, Nanxu, et al.
Published: (2026)

Feature Selection as Deep Sequential Generative Learning
by: Ying, Wangyang, et al.
Published: (2024)

Dataforge: Agentic Platform for Autonomous Data Engineering
by: Wang, Xinyuan, et al.
Published: (2025)

LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations
by: Wang, Xinyuan, et al.
Published: (2024)

Rethinking Spatio-Temporal Anomaly Detection: A Vision for Causality-Driven Cybersecurity
by: Malarkkan, Arun Vignesh, et al.
Published: (2025)

Large Language Models for Supply Chain Decisions
by: Simchi-Levi, David, et al.
Published: (2025)

DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming
by: Malarkkan, Arun Vignesh, et al.
Published: (2025)

Speeding up Policy Simulation in Supply Chain RL
by: Farias, Vivek, et al.
Published: (2024)

Towards Robust Out-of-Distribution Generalization: Data Augmentation and Neural Architecture Search Approaches
by: Bai, Haoyue
Published: (2024)

Continuous Optimization for Feature Selection with Permutation-Invariant Embedding and Policy-Guided Search
by: Liu, Rui, et al.
Published: (2025)

Pivoting Retail Supply Chain with Deep Generative Techniques: Taxonomy, Survey and Insights
by: Wang, Yuan, et al.
Published: (2024)

Generative Probabilistic Planning for Optimizing Supply Chain Networks
by: Ahn, Hyung-il, et al.
Published: (2024)

Distribution Shift Aware Neural Tabular Learning
by: Ying, Wangyang, et al.
Published: (2025)

IIB-LPO: Latent Policy Optimization via Iterative Information Bottleneck
by: Deng, Huilin, et al.
Published: (2026)

CoT-X: An Adaptive Framework for Cross-Model Chain-of-Thought Transfer and Optimization
by: Bi, Ziqian, et al.
Published: (2025)

LLM Applications: Current Paradigms and the Next Frontier
by: Hou, Xinyi, et al.
Published: (2025)

On the (In)Security of LLM App Stores
by: Hou, Xinyi, et al.
Published: (2024)