Uncertainty-aware decision-making for autonomous driving at uncontrolled intersections
Reinforcement learning (RL) has been widely used in the decision-making of autonomous
vehicles (AVs) in recent studies. However, existing RL methods generally find the optimal …
vehicles (AVs) in recent studies. However, existing RL methods generally find the optimal …
Uncertainty-Aware Decision-Making for Autonomous Driving at Uncontrolled Intersections
X Tang, G Zhong, S Li, K Yang, K Shu, D Cao… - IEEE Transactions on …, 2023 - dl.acm.org
Reinforcement learning (RL) has been widely used in the decision-making of autonomous
vehicles (AVs) in recent studies. However, existing RL methods generally find the optimal …
vehicles (AVs) in recent studies. However, existing RL methods generally find the optimal …
Uncertainty-Aware Decision-Making for Autonomous Driving at Uncontrolled Intersections
X Tang, G Zhong, S Li, K Yang, K Shu, D Cao… - IEEE Transactions on …, 2023 - trid.trb.org
Reinforcement learning (RL) has been widely used in the decision-making of autonomous
vehicles (AVs) in recent studies. However, existing RL methods generally find the optimal …
vehicles (AVs) in recent studies. However, existing RL methods generally find the optimal …