Drive As You Like: Multi-Head Diffusion with Reinforcement Learning for Personalized Driving
M-Diffusion Planner is proposed with a dual-decoupling design: separating intent understanding from trajectory planning, and general planning capability learning from strategy alignment, to mitigate degradation of pretrained planning capabilities.
Ding Fan, Xuewen Luo, H. Tew et al.
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