2 papers
cs.RO2025
MMRHP: A Miniature Mixed-Reality HIL Platform for Auditable Closed-Loop Evaluation
Mingxin Li, Haibo Hu, Jinghuai Deng +3
Validation of autonomous driving systems requires a trade-off between test fidelity, cost, and scalability. While miniaturized hardware-in-the-loop (HIL) platforms have emerged as…
cs.LG2025
ROAD: Responsibility-Oriented Reward Design for Reinforcement Learning in Autonomous Driving
Yongming Chen, Miner Chen, Liewen Liao +5
Reinforcement learning (RL) in autonomous driving employs a trial-and-error mechanism, enhancing robustness in unpredictable environments. However, crafting effective reward functi…