Saved in:
| Main Authors: | Yang, Shunpeng, Liu, Ben, Chen, Hua |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.01156 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Diffusion Policy through Conditional Proximal Policy Optimization
by: Liu, Ben, et al.
Published: (2026)
by: Liu, Ben, et al.
Published: (2026)
FlowQ: Energy-Guided Flow Policies for Offline Reinforcement Learning
by: Alles, Marvin, et al.
Published: (2025)
by: Alles, Marvin, et al.
Published: (2025)
ReinFlow: Fine-tuning Flow Matching Policy with Online Reinforcement Learning
by: Zhang, Tonghe, et al.
Published: (2025)
by: Zhang, Tonghe, et al.
Published: (2025)
FocalPolicy: Frequency-Optimized Chunking and Locally Anchored Flow Matching for Coherent Visuomotor Policy
by: He, Qian, et al.
Published: (2026)
by: He, Qian, et al.
Published: (2026)
Design of Restricted Normalizing Flow towards Arbitrary Stochastic Policy with Computational Efficiency
by: Kobayashi, Taisuke, et al.
Published: (2024)
by: Kobayashi, Taisuke, et al.
Published: (2024)
SAC Flow: Sample-Efficient Reinforcement Learning of Flow-Based Policies via Velocity-Reparameterized Sequential Modeling
by: Zhang, Yixian, et al.
Published: (2025)
by: Zhang, Yixian, et al.
Published: (2025)
Reinforcement Fine-Tuning of Flow-Matching Policies for Vision-Language-Action Models
by: Lyu, Mingyang, et al.
Published: (2025)
by: Lyu, Mingyang, et al.
Published: (2025)
Flow Matching Policy Gradients
by: McAllister, David, et al.
Published: (2025)
by: McAllister, David, et al.
Published: (2025)
Translating Flow to Policy via Hindsight Online Imitation
by: Zheng, Yitian, et al.
Published: (2025)
by: Zheng, Yitian, et al.
Published: (2025)
Riemannian Flow Matching Policy for Robot Motion Learning
by: Braun, Max, et al.
Published: (2024)
by: Braun, Max, et al.
Published: (2024)
Latent Policy Steering through One-Step Flow Policies
by: Im, Hokyun, et al.
Published: (2026)
by: Im, Hokyun, et al.
Published: (2026)
SeFA-Policy: Fast and Accurate Visuomotor Policy Learning with Selective Flow Alignment
by: Xue, Rong, et al.
Published: (2025)
by: Xue, Rong, et al.
Published: (2025)
SERNF: Sample-Efficient Real-World Dexterous Policy Fine-Tuning via Action-Chunked Critics and Normalizing Flows
by: Yang, Chenyu, et al.
Published: (2026)
by: Yang, Chenyu, et al.
Published: (2026)
Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies
by: Wang, Shu-yuan, et al.
Published: (2025)
by: Wang, Shu-yuan, et al.
Published: (2025)
FlowCorrect: Efficient Interactive Correction of Generative Flow Policies for Robotic Manipulation
by: Welte, Edgar, et al.
Published: (2026)
by: Welte, Edgar, et al.
Published: (2026)
Flow-Based Single-Step Completion for Efficient and Expressive Policy Learning
by: Koirala, Prajwal, et al.
Published: (2025)
by: Koirala, Prajwal, et al.
Published: (2025)
Fast and Robust Visuomotor Riemannian Flow Matching Policy
by: Ding, Haoran, et al.
Published: (2024)
by: Ding, Haoran, et al.
Published: (2024)
Diffusion Policies with Value-Conditional Optimization for Offline Reinforcement Learning
by: Ma, Yunchang, et al.
Published: (2025)
by: Ma, Yunchang, et al.
Published: (2025)
Data-Efficient Hierarchical Goal-Conditioned Reinforcement Learning via Normalizing Flows
by: Garg, Shaswat, et al.
Published: (2026)
by: Garg, Shaswat, et al.
Published: (2026)
Flow with the Force Field: Learning 3D Compliant Flow Matching Policies from Force and Demonstration-Guided Simulation Data
by: Li, Tianyu, et al.
Published: (2025)
by: Li, Tianyu, et al.
Published: (2025)
Diffusion Policy Policy Optimization
by: Ren, Allen Z., et al.
Published: (2024)
by: Ren, Allen Z., et al.
Published: (2024)
Fisher Decorator: Refining Flow Policy via a Local Transport Map
by: Cheng, Xiaoyuan, et al.
Published: (2026)
by: Cheng, Xiaoyuan, et al.
Published: (2026)
FLAG: Flow Policy MaxEnt-RL by Latent Augmented Guidance
by: Kim, Sungha, et al.
Published: (2026)
by: Kim, Sungha, et al.
Published: (2026)
EfficientFlow: Efficient Equivariant Flow Policy Learning for Embodied AI
by: Chang, Jianlei, et al.
Published: (2025)
by: Chang, Jianlei, et al.
Published: (2025)
VFP: Variational Flow-Matching Policy for Multi-Modal Robot Manipulation
by: Zhai, Xuanran, et al.
Published: (2025)
by: Zhai, Xuanran, et al.
Published: (2025)
Enhancing Sample Efficiency and Exploration in Reinforcement Learning through the Integration of Diffusion Models and Proximal Policy Optimization
by: Gao, Tianci, et al.
Published: (2024)
by: Gao, Tianci, et al.
Published: (2024)
Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy Optimization
by: Lei, Kun, et al.
Published: (2023)
by: Lei, Kun, et al.
Published: (2023)
State-wise Constrained Policy Optimization
by: Zhao, Weiye, et al.
Published: (2023)
by: Zhao, Weiye, et al.
Published: (2023)
Real-Time Execution of Action Chunking Flow Policies
by: Black, Kevin, et al.
Published: (2025)
by: Black, Kevin, et al.
Published: (2025)
NFPO: Stabilized Policy Optimization of Normalizing Flow for Robotic Policy Learning
by: Shi, Diyuan, et al.
Published: (2026)
by: Shi, Diyuan, et al.
Published: (2026)
Dichotomous Diffusion Policy Optimization
by: Liang, Ruiming, et al.
Published: (2025)
by: Liang, Ruiming, et al.
Published: (2025)
LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models
by: Peng, Zengqi, et al.
Published: (2025)
by: Peng, Zengqi, et al.
Published: (2025)
Drifting Field Policy: A One-Step Generative Policy via Wasserstein Gradient Flow
by: Koo, Juil, et al.
Published: (2026)
by: Koo, Juil, et al.
Published: (2026)
Absolute Policy Optimization
by: Zhao, Weiye, et al.
Published: (2023)
by: Zhao, Weiye, et al.
Published: (2023)
Compose Your Policies! Improving Diffusion-based or Flow-based Robot Policies via Test-time Distribution-level Composition
by: Cao, Jiahang, et al.
Published: (2025)
by: Cao, Jiahang, et al.
Published: (2025)
Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning
by: Liu, Tenglong, et al.
Published: (2024)
by: Liu, Tenglong, et al.
Published: (2024)
FlowRetrieval: Flow-Guided Data Retrieval for Few-Shot Imitation Learning
by: Lin, Li-Heng, et al.
Published: (2024)
by: Lin, Li-Heng, et al.
Published: (2024)
DRARL: Disengagement-Reason-Augmented Reinforcement Learning for Efficient Improvement of Autonomous Driving Policy
by: Zhou, Weitao, et al.
Published: (2025)
by: Zhou, Weitao, et al.
Published: (2025)
WarmPrior: Straightening Flow-Matching Policies with Temporal Priors
by: Kang, Sinjae, et al.
Published: (2026)
by: Kang, Sinjae, et al.
Published: (2026)
Spectral Normalization for Lipschitz-Constrained Policies on Learning Humanoid Locomotion
by: Shin, Jaeyong, et al.
Published: (2025)
by: Shin, Jaeyong, et al.
Published: (2025)
Similar Items
-
Diffusion Policy through Conditional Proximal Policy Optimization
by: Liu, Ben, et al.
Published: (2026) -
FlowQ: Energy-Guided Flow Policies for Offline Reinforcement Learning
by: Alles, Marvin, et al.
Published: (2025) -
ReinFlow: Fine-tuning Flow Matching Policy with Online Reinforcement Learning
by: Zhang, Tonghe, et al.
Published: (2025) -
FocalPolicy: Frequency-Optimized Chunking and Locally Anchored Flow Matching for Coherent Visuomotor Policy
by: He, Qian, et al.
Published: (2026) -
Design of Restricted Normalizing Flow towards Arbitrary Stochastic Policy with Computational Efficiency
by: Kobayashi, Taisuke, et al.
Published: (2024)