Cover Image

GRPOformer: Advancing Hyperparameter Optimization via Group Relative Policy Optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Guo, Haoxin, Pan, Jiawen, Zhai, Weixin
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

Reinforcement Unlearning via Group Relative Policy Optimization
by: Zaradoukas, Efstratios, et al.
Published: (2026)

Sequential Policy Gradient for Adaptive Hyperparameter Optimization
by: Li, Zheng, et al.
Published: (2025)

Sharpness-Guided Group Relative Policy Optimization via Probability Shaping
by: Le, Tue, et al.
Published: (2025)

Amortized Molecular Optimization via Group Relative Policy Optimization
by: Javaid, Muhammad bin, et al.
Published: (2026)

Overtuning in Hyperparameter Optimization
by: Schneider, Lennart, et al.
Published: (2025)

Constrained Group Relative Policy Optimization
by: Girgis, Roger, et al.
Published: (2026)

Unifying Group-Relative and Self-Distillation Policy Optimization via Sample Routing
by: Li, Gengsheng, et al.
Published: (2026)

Consensus Group Relative Policy Optimization for Text Generation
by: Ichihara, Yuki, et al.
Published: (2026)

Revisiting Group Relative Policy Optimization: Insights into On-Policy and Off-Policy Training
by: Mroueh, Youssef, et al.
Published: (2025)

Dynamic Priors in Bayesian Optimization for Hyperparameter Optimization
by: Fehring, Lukas, et al.
Published: (2025)

Hyperparameter Optimization in Machine Learning
by: Franceschi, Luca, et al.
Published: (2024)

Advantage Collapse in Group Relative Policy Optimization: Diagnosis and Mitigation
by: He, Xixiang, et al.
Published: (2026)

Hyperparameter Optimization via Interacting with Probabilistic Circuits
by: Seng, Jonas, et al.
Published: (2025)

Hyperparameter Optimization Can Even be Harmful in Off-Policy Learning and How to Deal with It
by: Saito, Yuta, et al.
Published: (2024)

In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization
by: Rakotoarison, Herilalaina, et al.
Published: (2024)

NGRPO: Negative-enhanced Group Relative Policy Optimization
by: Nan, Gongrui, et al.
Published: (2025)

Hybrid Group Relative Policy Optimization: A Multi-Sample Approach to Enhancing Policy Optimization
by: Sane, Soham
Published: (2025)

Demystifying Group Relative Policy Optimization: Its Policy Gradient is a U-Statistic
by: Zhou, Hongyi, et al.
Published: (2026)

Deriving Hyperparameter Scaling Laws via Modern Optimization Theory
by: Shulgin, Egor, et al.
Published: (2026)

Latent-GRPO: Group Relative Policy Optimization for Latent Reasoning
by: Deng, Jingcheng, et al.
Published: (2026)

Leveraging Group Relative Policy Optimization to Advance Large Language Models in Traditional Chinese Medicine
by: Xie, Jiacheng, et al.
Published: (2025)

Enhancing Performance and Calibration in Quantile Hyperparameter Optimization
by: Doyle, Riccardo
Published: (2025)

GTPO: Stabilizing Group Relative Policy Optimization via Gradient and Entropy Control
by: Simoni, Marco, et al.
Published: (2025)

Adaptive Hyperparameter Optimization for Continual Learning Scenarios
by: Semola, Rudy, et al.
Published: (2024)

Hyperparameter Tuning Through Pessimistic Bilevel Optimization
by: Ustun, Meltem Apaydin, et al.
Published: (2024)

Group Orthogonalized Policy Optimization:Group Policy Optimization as Orthogonal Projection in Hilbert Space
by: Zixian, Wang
Published: (2026)

On Optimizing Hyperparameters for Quantum Neural Networks
by: Herbst, Sabrina, et al.
Published: (2024)

ORTHOBO: Orthogonal Bayesian Hyperparameter Optimization
by: Schröder, Maresa, et al.
Published: (2026)

Enhancing LLM-based Search Agents via Contribution Weighted Group Relative Policy Optimization
by: Wang, Junzhe, et al.
Published: (2026)

MedGround-R1: Advancing Medical Image Grounding via Spatial-Semantic Rewarded Group Relative Policy Optimization
by: Xu, Huihui, et al.
Published: (2025)

WS-GRPO: Weakly-Supervised Group-Relative Policy Optimization for Rollout-Efficient Reasoning
by: Mundada, Gagan, et al.
Published: (2026)

F-GRPO: Factorized Group-Relative Policy Optimization for Unified Candidate Generation and Ranking
by: Surana, Rohan, et al.
Published: (2026)

From Black-Box Tuning to Guided Optimization via Hyperparameters Interaction Analysis
by: Garouani, Moncef, et al.
Published: (2025)

A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning
by: Kim, Minyoung, et al.
Published: (2024)

Personalized Group Relative Policy Optimization for Heterogenous Preference Alignment
by: Wang, Jialu, et al.
Published: (2026)

Multi-Objective Hyperparameter Optimization in Machine Learning -- An Overview
by: Karl, Florian, et al.
Published: (2022)

Practitioner Motives to Use Different Hyperparameter Optimization Methods
by: Kannengießer, Niclas, et al.
Published: (2022)

HyperQ-Opt: Q-learning for Hyperparameter Optimization
by: Hasan, Md. Tarek
Published: (2024)

Dynamic Hyperparameter Importance for Efficient Multi-Objective Optimization
by: Theodorakopoulos, Daphne, et al.
Published: (2026)

Towards Generalizable Reasoning: Group Causal Counterfactual Policy Optimization for LLM Reasoning
by: Wang, Jingyao, et al.
Published: (2026)