Imagen de Portada

Orthogonalized Policy Optimization:Policy Optimization as Orthogonal Projection in Hilbert Space

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Zixian, Wang
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

ORTHOBO: Orthogonal Bayesian Hyperparameter Optimization
por: Schröder, Maresa, et al.
Publicado: (2026)

ROOT: Robust Orthogonalized Optimizer for Neural Network Training
por: He, Wei, et al.
Publicado: (2025)

ADPO: Anchored Direct Preference Optimization
por: Zixian, Wang
Publicado: (2025)

APO: Alpha-Divergence Preference Optimization
por: Zixian, Wang
Publicado: (2025)

Orthogonal Finetuning for Direct Preference Optimization
por: Yang, Chenxu, et al.
Publicado: (2024)

Policy Newton Algorithm in Reproducing Kernel Hilbert Space
por: Zhang, Yixian, et al.
Publicado: (2025)

On-Policy Optimization of ANFIS Policies Using Proximal Policy Optimization
por: Shankar, Kaaustaaub, et al.
Publicado: (2025)

TrasMuon: Trust-Region Adaptive Scaling for Orthogonalized Momentum Optimizers
por: Cheng, Peng, et al.
Publicado: (2026)

Uncertain Multi-Objective Recommendation via Orthogonal Meta-Learning Enhanced Bayesian Optimization
por: Wang, Hongxu, et al.
Publicado: (2025)

Refine and Purify: Orthogonal Basis Optimization with Null-Space Denoising for Conditional Representation Learning
por: Wang, Jiaquan, et al.
Publicado: (2026)

Fisher-Orthogonal Projected Natural Gradient Descent for Continual Learning
por: Garg, Ishir, et al.
Publicado: (2026)

Pro-KLShampoo: Projected KL-Shampoo with Whitening Recovered by Orthogonalization
por: Sun, Ruotong, et al.
Publicado: (2026)

Relative Policy-Transition Optimization for Fast Policy Transfer
por: Xu, Jiawei, et al.
Publicado: (2022)

Fractal Landscapes in Policy Optimization
por: Wang, Tao, et al.
Publicado: (2023)

Variational Delayed Policy Optimization
por: Wu, Qingyuan, et al.
Publicado: (2024)

Reparameterization Flow Policy Optimization
por: Zhong, Hai, et al.
Publicado: (2026)

Reparameterization Proximal Policy Optimization
por: Zhong, Hai, et al.
Publicado: (2025)

Divergence-Augmented Policy Optimization
por: Wang, Qing, et al.
Publicado: (2025)

Combinatorial Optimization with Policy Adaptation using Latent Space Search
por: Chalumeau, Felix, et al.
Publicado: (2023)

Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces
por: Yu, Shixing, et al.
Publicado: (2026)

Evolutionary Policy Optimization
por: Wang, Jianren, et al.
Publicado: (2025)

Approximated Orthogonal Projection Unit: Stabilizing Regression Network Training Using Natural Gradient
por: Wang, Shaoqi, et al.
Publicado: (2024)

Wasserstein Policy Optimization
por: Pfau, David, et al.
Publicado: (2025)

Reflective Policy Optimization
por: Gan, Yaozhong, et al.
Publicado: (2024)

GoQuant: Geometric Orthogonal Residual Projection for Multiplier-Free Power-of-Two Transformer Quantization
por: Xiang, Maoyang, et al.
Publicado: (2026)

Listwise Policy Optimization: Group-based RLVR as Target-Projection on the LLM Response Simplex
por: Qu, Yun, et al.
Publicado: (2026)

Trust-Region Adaptive Policy Optimization
por: Su, Mingyu, et al.
Publicado: (2025)

Soft Sequence Policy Optimization
por: Glazyrina, Svetlana, et al.
Publicado: (2026)

Single-stream Policy Optimization
por: Xu, Zhongwen, et al.
Publicado: (2025)

Decision Flow Policy Optimization
por: Hu, Jifeng, et al.
Publicado: (2025)

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

Absolute Policy Optimization
por: Zhao, Weiye, et al.
Publicado: (2023)

Foundation Policies with Hilbert Representations
por: Park, Seohong, et al.
Publicado: (2024)

Optimize Wider, Not Deeper: Consensus Aggregation for Policy Optimization
por: Su, Zelal, et al.
Publicado: (2026)

Orthogonal Subspace Projection for Continual Machine Unlearning via SVD-Based LoRA
por: Rahulamathavan, Yogachandran, et al.
Publicado: (2026)

Beyond the Mean: Fisher-Orthogonal Projection for Natural Gradient Descent in Large Batch Training
por: Lu, Yishun, et al.
Publicado: (2025)

Isotropic Curvature Model for Understanding Deep Learning Optimization: Is Gradient Orthogonalization Optimal?
por: Su, Weijie
Publicado: (2025)

Calibration-Aware Policy Optimization for Reasoning LLMs
por: Wang, Ziqi, et al.
Publicado: (2026)

GIPO: Gaussian Importance Sampling Policy Optimization
por: Lu, Chengxuan, et al.
Publicado: (2026)