Claudiu Radu Pozna

Training-Data Axes in Imitation Learning Cascade into Hybrid Reinforcement-Learning Fine-Tuning: A Leave-One-Out Bridge Study Under Matched and Cascade Evaluation

Hybrid imitation-learning-to-reinforcement-learning (IL→RL) driving stacks are typically evaluated against a single fixed IL prior, leaving open whether IL training-data quality determines downstream RL outcomes and whether hybrid actuator decoupling (IL steers, RL controls only speed) isolates the speed controller fro...