Safe Score Matching: Diffusion Policies with Hamilton-Jacobi Reachability for Online Safe Reinforcement Learning
cs.LG, cs.RO
Submitted: 2026-09-27
Updated: 2026-09-27
Code: https://github.com/byli888/safe-score-matching
Terminology
Sources
- Safe and Stable Control via Lyapunov-Guided Diffusion Models
- Data-Driven Hamiltonian for Direct Construction of Safe Set from Trajectory Data
- Maximum Entropy Reinforcement Learning with Diffusion Policy
- Flow-Based Policy for Online Reinforcement Learning
- Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety
- Understanding Reinforcement Learning-Based Fine-Tuning of Diffusion Models: A Tutorial and Review
- Constrained Diffusers for Safe Planning and Control
- Discrete GCBF Proximal Policy Optimization for Multi-agent Safe Optimal Control
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