Deep reinforcement learning and 3D physical environments applied to crowd evacuation in congested scenarios
To avoid crowd evacuation simulations depending on 2D environments and real data, we propose a framework for crowd evacuation modeling and simulation by applying deep reinforcement learning (DRL) and 3D physical environments (3DPEs).In 3DPEs, we construct simulation scenarios from the aspects of geometry, semantics and physics, which include the en