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cs.LG2025
Constraint-Aware Flow Matching via Randomized Exploration
Zhengyan Huan, Jacob Boerma, Li-Ping Liu +1
We consider the problem of designing constraint-aware flow matching (FM) models that address the issue of constraint violations commonly observed in vanilla generative models. We c…
cs.LG2024
Bounding-Box Inference for Error-Aware Model-Based Reinforcement Learning
Erin J. Talvitie, Zilei Shao, Huiying Li +4
In model-based reinforcement learning, simulated experiences from the learned model are often treated as equivalent to experience from the real environment. However, when the model…