Cover Image

Planning with Language and Generative Models: Toward General Reward-Guided Wireless Network Design

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yuan, Chenyang, Cheng, Xiaoyuan
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards Cost-Effective Reward Guided Text Generation
by: Rashid, Ahmad, et al.
Published: (2025)

Generative Reward Models
by: Mahan, Dakota, et al.
Published: (2024)

Towards Understanding Generalization in DP-GD: A Case Study in Training Two-Layer CNNs
by: Shi, Zhongjie, et al.
Published: (2025)

Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation
by: Yuan, Yuan, et al.
Published: (2024)

Gradient Preconditioning for Efficient and Reliable Reward-Guided Generation
by: Hwang, Jisung, et al.
Published: (2026)

Leveraging Reward Models for Guiding Code Review Comment Generation
by: Sghaier, Oussama Ben, et al.
Published: (2025)

Generative AI Meets Wireless Sensing: Towards Wireless Foundation Model
by: Yang, Zheng, et al.
Published: (2025)

Designing Heterogeneous GNNs with Desired Permutation Properties for Wireless Resource Allocation
by: Zhao, Jianyu, et al.
Published: (2022)

SemiReward: A General Reward Model for Semi-supervised Learning
by: Li, Siyuan, et al.
Published: (2023)

Generative Diffusion Models for Resource Allocation in Wireless Networks
by: Uslu, Yigit Berkay, et al.
Published: (2025)

Pretraining Generative Flow Networks with Inexpensive Rewards for Molecular Graph Generation
by: Pandey, Mohit, et al.
Published: (2025)

Efficient Generative Modeling via Penalized Optimal Transport Network
by: Lu, Wenhui Sophia, et al.
Published: (2024)

Parent-Guided Semantic Reward Model (PGSRM): Embedding-Based Reward Functions for Reinforcement Learning of Transformer Language Models
by: Plashchinsky, Alexandr
Published: (2025)

A Critical Look At Tokenwise Reward-Guided Text Generation
by: Rashid, Ahmad, et al.
Published: (2024)

Guiding Language Model Reasoning with Planning Tokens
by: Wang, Xinyi, et al.
Published: (2023)

Planning-Query-Guided Model Generation for Model-Based Deformable Object Manipulation
by: LaGrassa, Alex, et al.
Published: (2025)

Chart-RL: Generalized Chart Comprehension via Reinforcement Learning with Verifiable Rewards
by: Zhang, Xin, et al.
Published: (2026)

Self-Generated Critiques Boost Reward Modeling for Language Models
by: Yu, Yue, et al.
Published: (2024)

Fine-tuning Language Models with Generative Adversarial Reward Modelling
by: Yu, Zhang Ze, et al.
Published: (2023)

SoliReward: Mitigating Susceptibility to Reward Hacking and Annotation Noise in Video Generation Reward Models
by: Lian, Jiesong, et al.
Published: (2025)

RewardBench: Evaluating Reward Models for Language Modeling
by: Lambert, Nathan, et al.
Published: (2024)

Lipschitz-Guided Design of Interpolation Schedules in Generative Models
by: Chen, Yifan, et al.
Published: (2025)

Inference-Time Alignment in Diffusion Models with Reward-Guided Generation: Tutorial and Review
by: Uehara, Masatoshi, et al.
Published: (2025)

Generative Modeling through Koopman Spectral Analysis: An Operator-Theoretic Perspective
by: Xu, Yuanchao, et al.
Published: (2025)

GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models
by: Fu, Yonggan, et al.
Published: (2023)

Towards Bridging the Reward-Generation Gap in Direct Alignment Algorithms
by: Xiao, Zeguan, et al.
Published: (2025)

Generative Verifiers: Reward Modeling as Next-Token Prediction
by: Zhang, Lunjun, et al.
Published: (2024)

RL for Consistency Models: Faster Reward Guided Text-to-Image Generation
by: Oertell, Owen, et al.
Published: (2024)

Reward Generation via Large Vision-Language Model in Offline Reinforcement Learning
by: Lee, Younghwan, et al.
Published: (2025)

Optimal Design for Reward Modeling in RLHF
by: Scheid, Antoine, et al.
Published: (2024)

Large Language Model Guided Incentive Aware Reward Design for Cooperative Multi-Agent Reinforcement Learning
by: Urgun, Dogan, et al.
Published: (2026)

WirelessLLM: Empowering Large Language Models Towards Wireless Intelligence
by: Shao, Jiawei, et al.
Published: (2024)

Reward Model Generalization for Compute-Aware Test-Time Reasoning
by: Song, Zeen, et al.
Published: (2025)

Towards 6G Intelligence: The Role of Generative AI in Future Wireless Networks
by: Mohsin, Muhammad Ahmed, et al.
Published: (2025)

Towards Generation-Efficient Uncertainty Estimation in Large Language Models
by: Zhu, Mingcheng, et al.
Published: (2026)

LinguaFluid: Language Guided Fluid Control via Semantic Rewards in Reinforcement Learning
by: Liang, Aoming, et al.
Published: (2025)

Tailoring Generative Adversarial Networks for Smooth Airfoil Design
by: Chattoraj, Joyjit, et al.
Published: (2024)

UniZero: Generalized and Efficient Planning with Scalable Latent World Models
by: Pu, Yuan, et al.
Published: (2024)

Guiding LLM Decision-Making with Fairness Reward Models
by: Hall, Zara, et al.
Published: (2025)

Physics-Informed Generative Modeling of Wireless Channels
by: Böck, Benedikt, et al.
Published: (2025)