Yong-Qing Jia

Behavior decision-making of intelligent vehicles using budgeted reinforcement learning

Autonomous vehicles (AVs) commonly adopt overly conservative driving behaviors to reduce the likelihood of low-probability traffic accidents. However, such conservatism often leads to ineffective interaction with other road users and may even result in prolonged inactivity. To address this issue, this paper proposes a...