Cover Image

FlowQ: Energy-Guided Flow Policies for Offline Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Alles, Marvin, Chen, Nutan, van der Smagt, Patrick, Cseke, Botond
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Robotics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Guided Decoding for Robot On-line Motion Generation and Adaption
by: Chen, Nutan, et al.
Published: (2024)

Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning
by: Alles, Marvin, et al.
Published: (2024)

Causal Flow Q-Learning for Robust Offline Reinforcement Learning
by: Li, Mingxuan, et al.
Published: (2026)

Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning
by: Liu, Tenglong, et al.
Published: (2024)

ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles
by: Zhao, Kai, et al.
Published: (2023)

ACL-QL: Adaptive Conservative Level in Q-Learning for Offline Reinforcement Learning
by: Wu, Kun, et al.
Published: (2024)

Diffusion Policies with Value-Conditional Optimization for Offline Reinforcement Learning
by: Ma, Yunchang, et al.
Published: (2025)

Safe Flow Q-Learning: Offline Safe Reinforcement Learning with Reachability-Based Flow Policies
by: Tayal, Mumuksh, et al.
Published: (2026)

Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model
by: Zheng, Yinan, et al.
Published: (2024)

Towards Robust Policy: Enhancing Offline Reinforcement Learning with Adversarial Attacks and Defenses
by: Nguyen, Thanh, et al.
Published: (2024)

LIMT: Language-Informed Multi-Task Visual World Models
by: Aljalbout, Elie, et al.
Published: (2024)

Boundary-to-Region Supervision for Offline Safe Reinforcement Learning
by: Su, Huikang, et al.
Published: (2025)

Latent Matters: Learning Deep State-Space Models
by: Klushyn, Alexej, et al.
Published: (2026)

Offline Reinforcement Learning with Discrete Diffusion Skills
by: Qiao, RuiXi, et al.
Published: (2025)

A Clean Slate for Offline Reinforcement Learning
by: Jackson, Matthew Thomas, et al.
Published: (2025)

Improving Offline Reinforcement Learning with Inaccurate Simulators
by: Hou, Yiwen, et al.
Published: (2024)

Guided Flow Policy: Learning from High-Value Actions in Offline Reinforcement Learning
by: Tiofack, Franki Nguimatsia, et al.
Published: (2025)

ReFORM: Reflected Flows for On-support Offline RL via Noise Manipulation
by: Zhang, Songyuan, et al.
Published: (2026)

Robust Policy Learning via Offline Skill Diffusion
by: Kim, Woo Kyung, et al.
Published: (2024)

Forecasting in Offline Reinforcement Learning for Non-stationary Environments
by: Ada, Suzan Ece, et al.
Published: (2025)

Variational OOD State Correction for Offline Reinforcement Learning
by: Jiang, Ke, et al.
Published: (2025)

Graph-Assisted Stitching for Offline Hierarchical Reinforcement Learning
by: Baek, Seungho, et al.
Published: (2025)

Goal-Conditioned Data Augmentation for Offline Reinforcement Learning
by: Huang, Xingshuai, et al.
Published: (2024)

Robotic Manipulation Datasets for Offline Compositional Reinforcement Learning
by: Hussing, Marcel, et al.
Published: (2023)

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models
by: Peng, Zengqi, et al.
Published: (2025)

Diffusion Policies for Out-of-Distribution Generalization in Offline Reinforcement Learning
by: Ada, Suzan Ece, et al.
Published: (2023)

Offline Goal-Conditioned Reinforcement Learning for Safety-Critical Tasks with Recovery Policy
by: Cao, Chenyang, et al.
Published: (2024)

Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning
by: Hu, Jifeng, et al.
Published: (2025)

MOBODY: Model Based Off-Dynamics Offline Reinforcement Learning
by: Guo, Yihong, et al.
Published: (2025)

Offline Actor-Critic Reinforcement Learning Scales to Large Models
by: Springenberg, Jost Tobias, et al.
Published: (2024)

Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning
by: Song, Yeda, et al.
Published: (2024)

SMORE: Score Models for Offline Goal-Conditioned Reinforcement Learning
by: Sikchi, Harshit, et al.
Published: (2023)

A Recipe for Stable Offline Multi-agent Reinforcement Learning
by: Lee, Dongsu, et al.
Published: (2026)

Model-Based Reinforcement Learning with Multi-Task Offline Pretraining
by: Pan, Minting, et al.
Published: (2023)

Safe Offline Reinforcement Learning with Real-Time Budget Constraints
by: Lin, Qian, et al.
Published: (2023)

Data-Efficient Hierarchical Goal-Conditioned Reinforcement Learning via Normalizing Flows
by: Garg, Shaswat, et al.
Published: (2026)

Real-Time Execution of Action Chunking Flow Policies
by: Black, Kevin, et al.
Published: (2025)

Q-Flow: Stable and Expressive Reinforcement Learning with Flow-Based Policy
by: Doo, JaeHyeok, et al.
Published: (2026)

Video-Enhanced Offline Reinforcement Learning: A Model-Based Approach
by: Pan, Minting, et al.
Published: (2025)

Offline Reinforcement Learning with Wasserstein Regularization via Optimal Transport Maps
by: Omura, Motoki, et al.
Published: (2025)