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cs.LG2025
Semantically-Guided Inference for Conditional Diffusion Models: Enhancing Covariate Consistency in Time Series Forecasting
Rui Ding, Hanyang Meng, Zeyang Zhang +1
Diffusion models have demonstrated strong performance in time series forecasting, yet often suffer from semantic misalignment between generated trajectories and conditioning covari…
cs.LG2025
Towards a Reward-Free Reinforcement Learning Framework for Vehicle Control
Jielong Yang, Daoyuan Huang
Reinforcement learning plays a crucial role in vehicle control by guiding agents to learn optimal control strategies through designing or learning appropriate reward signals. Howev…