Cover Image

Two-Stage Feature Generation with Transformer and Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gao, Wanfu, Man, Zengyao, He, Zebin, Tang, Yuhao, Gao, Jun, Liu, Kunpeng
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

Dual-Agent Reinforcement Learning for Automated Feature Generation
by: Gao, Wanfu, et al.
Published: (2025)

The Semantic Architect: How FEAML Bridges Structured Data and LLMs for Multi-Label Tasks
by: Gao, Wanfu, et al.
Published: (2025)

Reconsidering Feature Structure Information and Latent Space Alignment in Partial Multi-label Feature Selection
by: Pan, Hanlin, et al.
Published: (2025)

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method
by: Gao, Wanfu, et al.
Published: (2025)

Noise-Resistant Label Reconstruction Feature Selection for Partial Multi-Label Learning
by: Gao, Wanfu, et al.
Published: (2025)

Uncertainty-Aware Global-View Reconstruction for Multi-View Multi-Label Feature Selection
by: Hao, Pingting, et al.
Published: (2025)

TFWT: Tabular Feature Weighting with Transformer
by: Zhang, Xinhao, et al.
Published: (2024)

From Ambiguity to Action: A POMDP Perspective on Partial Multi-Label Ambiguity and Its Horizon-One Resolution
by: Pan, Hanlin, et al.
Published: (2026)

Redundancy-optimized Multi-head Attention Networks for Multi-View Multi-Label Feature Selection
by: Liu, Yuzhou, et al.
Published: (2025)

Ca-MCF: Category-level Multi-label Causal Feature selection
by: Gao, Wanfu, et al.
Published: (2026)

SEHFS: Structural Entropy-Guided High-Order Correlation Learning for Multi-View Multi-Label Feature Selection
by: Peng, Cheng, et al.
Published: (2026)

Heterogeneous Multi-Agent Reinforcement Learning with Attention for Cooperative and Scalable Feature Transformation
by: Zhe, Tao, et al.
Published: (2025)

Feature Interaction Aware Automated Data Representation Transformation
by: Azim, Ehtesamul, et al.
Published: (2023)

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

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

DRTA: Dynamic Reward Scaling for Reinforcement Learning in Time Series Anomaly Detection
by: Golchin, Bahareh, et al.
Published: (2025)

ProtTeX-CC: Activating In-Context Learning in Protein LLM via Two-Stage Instruction Compression
by: Fan, Chuanliu, et al.
Published: (2025)

Solving the QAP by Two-Stage Graph Pointer Networks and Reinforcement Learning
by: Iida, Satoko, et al.
Published: (2024)

Disentangling Feature Structure: A Mathematically Provable Two-Stage Training Dynamics in Transformers
by: Gong, Zixuan, et al.
Published: (2025)

Dynamic and Adaptive Feature Generation with LLM
by: Zhang, Xinhao, et al.
Published: (2024)

TSSR: Two-Stage Swap-Reward-Driven Reinforcement Learning for Character-Level SMILES Generation
by: Levine, Jacob Ede, et al.
Published: (2026)

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging
by: Liu, Guisong, et al.
Published: (2026)

Online Bayesian Risk-Averse Reinforcement Learning
by: Wang, Yuhao, et al.
Published: (2025)

Generative Early Stage Ranking
by: Hong, Juhee, et al.
Published: (2025)

Tackling Feature-Classifier Mismatch in Federated Learning via Prompt-Driven Feature Transformation
by: Wu, Xinghao, et al.
Published: (2024)

Pentest-R1: Towards Autonomous Penetration Testing Reasoning Optimized via Two-Stage Reinforcement Learning
by: Kong, He, et al.
Published: (2025)

Decoupling Task and Behavior: A Two-Stage Reward Curriculum in Reinforcement Learning for Robotics
by: Freitag, Kilian, et al.
Published: (2026)

Collapsing Sequence-Level Data-Policy Coverage via Poisoning Attack in Offline Reinforcement Learning
by: Zhou, Xue, et al.
Published: (2025)

Principled Fast and Meta Knowledge Learners for Continual Reinforcement Learning
by: Sun, Ke, et al.
Published: (2026)

A Reinforcement Learning-Driven Transformer GAN for Molecular Generation
by: Li, Chen, et al.
Published: (2025)

Replication of Impedance Identification Experiments on a Reinforcement-Learning-Controlled Digital Twin of Human Elbows
by: Yu, Hao, et al.
Published: (2024)

Reinforcement Feature Transformation for Polymer Property Performance Prediction
by: Hu, Xuanming, et al.
Published: (2024)

Preventing Data Leakage in EEG-Based Survival Prediction: A Two-Stage Embedding and Transformer Framework
by: Zhou, Yixin, et al.
Published: (2026)

MAGE: Multi-scale Autoregressive Generation for Offline Reinforcement Learning
by: Lin, Chenxing, et al.
Published: (2026)

Improving Policy Exploitation in Online Reinforcement Learning with Instant Retrospect Action
by: Gao, Gong, et al.
Published: (2026)

Lang2Str: Two-Stage Crystal Structure Generation with LLMs and Continuous Flow Models
by: Liu, Cong, et al.
Published: (2026)

Asymptotic Inference for Multi-Stage Stationary Treatment Policy with Variable Selection
by: Gao, Daiqi, et al.
Published: (2023)

StagePilot: A Deep Reinforcement Learning Agent for Stage-Controlled Cybergrooming Simulation
by: An, Heajun, et al.
Published: (2026)

On the Optimization and Generalization of Two-layer Transformers with Sign Gradient Descent
by: Li, Bingrui, et al.
Published: (2024)

Double Check My Desired Return: Transformer with Target Alignment for Offline Reinforcement Learning
by: Pei, Yue, et al.
Published: (2025)