Yongming Chen — accepted AI-conference papers

2026

ROAD: Responsibility-Oriented Reward Design for Reinforcement Learning in Autonomous Driving

Yongming Chen, Miner Chen, Qunyi Zhang, Liewen Liao, Mingyang Jiang, Xiang Zuo +5

RA-L 2026

Reinforcement learning (RL) in autonomous driving employs a trial-and-error mechanism, enhancing robustness in unpredictable environments. However, crafting effective reward functions remains challenging, as conventional approaches rely heavily on manual design and demonstrate limited efficacy in co

Cited by 0 Source ↗Scholar ↗

2023

A Study on Transformer Configuration and Training Objective

Fuzhao Xue, Jianghai Chen, Aixin Sun, Xiaozhe Ren, Zangwei Zheng, Xiaoxin He +3

ICML 2023poster

Transformer-based models have delivered impressive results on many tasks, particularly vision and language tasks. In many model training situations, conventional configurations are often adopted. For example, we usually set the base model with hidden size (i.e. model width) to be 768 and the number…

Cited by 7 Source ↗PDF ↗Scholar ↗