A VEHICLE PATH PLANNING ALGORITHM BASED ON MIXED POLICY GRADIENT ACTOR-CRITIC MODEL WITH RANDOM ESCAPE TERM AND FILTER OPTIMIZATION

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

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Recent developments and discoveries in natural hazards mitigation research at the NHERI Lehigh Experimental Facility

Natural hazards, including hurricanes and earthquakes, can escalate into catastrophic societal events due to the destruction of the built environment.To minimize the impact of such hazards on vulnerable communities, civil infrastructure must be designed with performance criteria that prioritize public safety and ensure continuous operation.The Nati

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