most citedA pedestrian path-planning model in accordance with obstacle's danger with reinforcement learning

4 citations · 4 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2019★ 4 cited

A pedestrian path-planning model in accordance with obstacle's danger with reinforcement learning

Thanh-Trung Trinh, Dinh-Minh Vu, Masaomi Kimura

Most microscopic pedestrian navigation models use the concept of "forces" applied to the pedestrian agents to replicate the navigation environment. While the approach could provide…