Cover Image

How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models?

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cheng, Xiaoyuan, Yuan, Wenxuan, Li, Boyang, Xu, Yuanchao, Yang, Yiming, Liang, Hao, Peng, Bei, Loftin, Robert, Sun, Zhuo, Hu, Yukun
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Safe and Stable Control via Lyapunov-Guided Diffusion Models
by: Cheng, Xiaoyuan, et al.
Published: (2025)

Outlier-robust Diffusion Posterior Sampling for Bayesian Inverse Problems
by: Yang, Yiming, et al.
Published: (2026)

From Embedding to Control: Representations for Stochastic Multi-Object Systems
by: Cheng, Xiaoyuan, et al.
Published: (2025)

Information Shapes Koopman Representation
by: Cheng, Xiaoyuan, et al.
Published: (2025)

How Does Return Distribution in Distributional Reinforcement Learning Help Optimization?
by: Sun, Ke, et al.
Published: (2022)

KEEC: Koopman Embedded Equivariant Control
by: Cheng, Xiaoyuan, et al.
Published: (2023)

Safe Multiagent Coordination via Entropic Exploration
by: Aydeniz, Ayhan Alp, et al.
Published: (2024)

Citizen Me: An Experiential Curriculum for Citizenship Education. Level: One.
by: Loftin, Richard
Published: (1979)

Multilevel Control Functional
by: Li, Kaiyu, et al.
Published: (2023)

Fisher Decorator: Refining Flow Policy via a Local Transport Map
by: Cheng, Xiaoyuan, et al.
Published: (2026)

Planning with Language and Generative Models: Toward General Reward-Guided Wireless Network Design
by: Yuan, Chenyang, et al.
Published: (2026)

Generative Modeling through Koopman Spectral Analysis: An Operator-Theoretic Perspective
by: Xu, Yuanchao, et al.
Published: (2025)

Detect-and-Guide: Self-regulation of Diffusion Models for Safe Text-to-Image Generation via Guideline Token Optimization
by: Li, Feifei, et al.
Published: (2025)

ConventionPlay: Capability-Limited Training for Robust Ad-Hoc Collaboration
by: Sriraman, Abhishek, et al.
Published: (2026)

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction
by: He, Yi, et al.
Published: (2025)

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

Tensor-Var: Efficient Four-Dimensional Variational Data Assimilation
by: Yang, Yiming, et al.
Published: (2025)

Learning Chaos In A Linear Way
by: Cheng, Xiaoyuan, et al.
Published: (2025)

Safe Reinforcement Learning with a Predictive Safety Filter for Motion Planning and Control: A Drifting Vehicle Example
by: Zhou, Bei, et al.
Published: (2025)

Social Cooperation in Conversational AI Agents
by: Çelikok, Mustafa Mert, et al.
Published: (2025)

On the Complexity of Learning to Cooperate with Populations of Socially Rational Agents
by: Loftin, Robert, et al.
Published: (2024)

Counterfactual Conditional Likelihood Rewards for Multiagent Exploration
by: Aydeniz, Ayhan Alp, et al.
Published: (2026)

How Bright in Gravitational Waves are Millisecond Pulsars for the Galactic Center GeV Gamma-Ray Excess? A Systematic Study and Implications for Dark Matter
by: Lei, Ming-Yu, et al.
Published: (2025)

Prior Does Matter: Visual Navigation via Denoising Diffusion Bridge Models
by: Ren, Hao, et al.
Published: (2025)

NaviDiffusor: Cost-Guided Diffusion Model for Visual Navigation
by: Zeng, Yiming, et al.
Published: (2025)

The effects of the Suwannee River Sill on the hydrology and vegetation of Okefenokee Swamp
by: Loftin, Cynthia S., et al.
Published: (1998)

Towards a Practical Understanding of Lagrangian Methods in Safe Reinforcement Learning
by: Spoor, Lindsay, et al.
Published: (2025)

Legal$Δ$: Enhancing Legal Reasoning in LLMs via Reinforcement Learning with Chain-of-Thought Guided Information Gain
by: Dai, Xin, et al.
Published: (2025)

Fuz-RL: A Fuzzy-Guided Robust Framework for Safe Reinforcement Learning under Uncertainty
by: Wan, Xu, et al.
Published: (2026)

Discrete-Guided Diffusion for Scalable and Safe Multi-Robot Motion Planning
by: Liang, Jinhao, et al.
Published: (2025)

Reinforcement Learning by Guided Safe Exploration
by: Yang, Qisong, et al.
Published: (2023)

Fisher-Preserving Guidance: Training-Free Manifold Constraints for Safe Diffusion Control
by: Ren, Hao, et al.
Published: (2026)

Fault-Tolerant Sandboxing for AI Coding Agents: A Transactional Approach to Safe Autonomous Execution
by: Yan, Boyang
Published: (2025)

CtrlFuse: Mask-Prompt Guided Controllable Infrared and Visible Image Fusion
by: Sun, Yiming, et al.
Published: (2026)

Controllability of switched oscillatory systems and its applications to multiagent systems
by: Hao Long, et al.
Published: (2024)

Equivariant finite energy proper minimal surfaces in $\mathbb{CH}^2$
by: Biswas, Indranil, et al.
Published: (2026)

Limits of Cubic Differentials and Buildings
by: Loftin, John, et al.
Published: (2022)

LLM-Guided Safe Reinforcement Learning for Energy System Topology Reconfiguration
by: Zhang, Zongyan, et al.
Published: (2026)

ADReFT: Adaptive Decision Repair for Safe Autonomous Driving via Reinforcement Fine-Tuning
by: Cheng, Mingfei, et al.
Published: (2025)

A Gradient Guided Diffusion Framework for Chance Constrained Programming
by: Zhang, Boyang, et al.
Published: (2025)