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cs.LG2025★ 1 cited
Online Reward-Weighted Fine-Tuning of Flow Matching with Wasserstein Regularization
Jiajun Fan, Shuaike Shen, Chaoran Cheng +3
Recent advancements in reinforcement learning (RL) have achieved great success in fine-tuning diffusion-based generative models. However, fine-tuning continuous flow-based generati…
cs.LG2025
Planning Under Observation Mismatch for Traffic Signal Control via Adaptive Modular World Models
Zherui Huang, Yicheng Liu, Chumeng Liang +1
Deploying learned decision-making systems often requires transferring to new sites where the sensing pipeline differs. In such cases, observations can change in semantics and dimen…