Cover Image

GIPO: Gaussian Importance Sampling Policy Optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lu, Chengxuan, Zhang, Zhenquan, Wang, Shukuan, Lin, Qunzhi, Sun, Baigui, Liu, Yang
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Beyond Importance Sampling: Rejection-Gated Policy Optimization
by: Sun, Ziwu, et al.
Published: (2026)

ESPO: Entropy Importance Sampling Policy Optimization
by: Sheng, Yuepeng, et al.
Published: (2025)

Rethinking Importance Sampling in LLM Policy Optimization: A Cumulative Token Perspective
by: Zhang, Yuheng, et al.
Published: (2026)

Monte Carlo Tree Search based Space Transfer for Black-box Optimization
by: Wang, Shukuan, et al.
Published: (2024)

AcceRL: A Distributed Asynchronous Reinforcement Learning and World Model Framework for Vision-Language-Action Models
by: Lu, Chengxuan, et al.
Published: (2026)

Demystifying the Paradox of Importance Sampling with an Estimated History-Dependent Behavior Policy in Off-Policy Evaluation
by: Zhou, Hongyi, et al.
Published: (2025)

MISA: Memory-Efficient LLMs Optimization with Module-wise Importance Sampling
by: Liu, Yuxi, et al.
Published: (2025)

Preference as Reward, Maximum Preference Optimization with Importance Sampling
by: Jiang, Zaifan, et al.
Published: (2023)

Relative Importance Sampling for off-Policy Actor-Critic in Deep Reinforcement Learning
by: Humayoo, Mahammad, et al.
Published: (2018)

P^2O: Joint Policy and Prompt Optimization
by: Lu, Xinyu, et al.
Published: (2026)

Quotient DAGs for Off-Policy Evaluation:Forward-Flow Importance Sampling and Exact Slate Propensities
by: Xie, Ziwen, et al.
Published: (2026)

Variational Learning of Gaussian Process Latent Variable Models through Stochastic Gradient Annealed Importance Sampling
by: Xu, Jian, et al.
Published: (2024)

A Step Back: Prefix Importance Ratio Stabilizes Policy Optimization
by: Lei, Shiye, et al.
Published: (2026)

Unified PAC-Bayesian Study of Pessimism for Offline Policy Learning with Regularized Importance Sampling
by: Aouali, Imad, et al.
Published: (2024)

TIP: Token Importance in On-Policy Distillation
by: Xu, Yuanda, et al.
Published: (2026)

Pretrain Value, Not Reward: Decoupled Value Policy Optimization
by: Huang, Chenghua, et al.
Published: (2025)

Importance Sampling for Nonlinear Models
by: Rajmohan, Prakash Palanivelu, et al.
Published: (2025)

Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization
by: Liu, Zongkai, et al.
Published: (2024)

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

A Variance-Reduced Cubic-Regularized Newton for Policy Optimization
by: Sun, Cheng, et al.
Published: (2025)

On the Sample Complexity of Differentially Private Policy Optimization
by: He, Yi, et al.
Published: (2025)

Learning More with Less: A Dynamic Dual-Level Down-Sampling Framework for Efficient Policy Optimization
by: Wang, Chao, et al.
Published: (2025)

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

Partial Domain Adaptation via Importance Sampling-based Shift Correction
by: Guo, Cheng-Jun, et al.
Published: (2025)

AIS: Adaptive Importance Sampling for Quantized RL
by: Zhou, Jiajun, et al.
Published: (2026)

A Unified Gaussian Process for Branching and Nested Hyperparameter Optimization
by: Zhang, Jiazhao, et al.
Published: (2024)

Unbiased Dynamic Pruning for Efficient Group-Based Policy Optimization
by: Zhu, Haodong, et al.
Published: (2026)

One-Way Policy Optimization for Self-Evolving LLMs
by: Yang, Shuo, et al.
Published: (2026)

PORTool: Importance-Aware Policy Optimization with Rewarded Tree for Multi-Tool-Integrated Reasoning
by: Wu, Feijie, et al.
Published: (2025)

Unearthing Gems from Stones: Policy Optimization with Negative Sample Augmentation for LLM Reasoning
by: Yang, Zhaohui, et al.
Published: (2025)

Variational Delayed Policy Optimization
by: Wu, Qingyuan, et al.
Published: (2024)

RLVR without Ineffective Samples: Group Prioritized Off-Policy Optimization for LLM Reasoning
by: Mao, Yixiu, et al.
Published: (2026)

Overcoming Reward Overoptimization via Adversarial Policy Optimization with Lightweight Uncertainty Estimation
by: Zhang, Xiaoying, et al.
Published: (2024)

CoPRIS: Efficient and Stable Reinforcement Learning via Concurrency-Controlled Partial Rollout with Importance Sampling
by: Qu, Zekai, et al.
Published: (2025)

Divergence-Augmented Policy Optimization
by: Wang, Qing, et al.
Published: (2025)

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

Absolute Policy Optimization
by: Zhao, Weiye, et al.
Published: (2023)

Decision Flow Policy Optimization
by: Hu, Jifeng, et al.
Published: (2025)

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

DRPO: Efficient Reasoning via Decoupled Reward Policy Optimization
by: Li, Gang, et al.
Published: (2025)