A Vehicle Path Planning Algorithm Based on Mixed Policy Gradient Actor-Critic Model with Random Escape Term and Filter Optimization
The transportation system of those countries has a huge traffic flow is bearing great pressure on transportation planning and management.Vehicle path planning is one of the effective ways to alleviate such pressure.Deep reinforcement learning (DRL), as a state-of-the-art solution method in vehicle path planning, can better balance the ability and c