5 citations · 5 across the 4 of their papers we have counts for
4 papers
Autonomous vehicle decision and control through reinforcement learning with traffic flow randomization
Yuan Lin, Antai Xie, Xiao Liu
Most of the current studies on autonomous vehicle decision-making and control tasks based on reinforcement learning are conducted in simulated environments. The training and testin…
Highway Discretionary Lane-change Decision and Control Using Model Predictive Control
Zishun Zheng, Yihan Wang, Yuan Lin
To enable autonomous vehicles to perform discretionary lane change amidst the random traffic flow on highways, this paper introduces a decision-making and control method for vehicl…
Steady-State Error Compensation for Reinforcement Learning with Quadratic Rewards
Liyao Wang, Zishun Zheng, Yuan Lin
The selection of a reward function in Reinforcement Learning (RL) has garnered significant attention because of its impact on system performance. Issues of significant steady-state…
Discretionary Lane-Change Decision and Control via Parameterized Soft Actor-Critic for Hybrid Action Space
Yuan Lin, Xiao Liu, Zishun Zheng
This study focuses on a crucial task in the field of autonomous driving, autonomous lane change. Autonomous lane change plays a pivotal role in improving traffic flow, alleviating…