Evaluating the Perceived Safety of Urban City via Maximum Entropy Deep Inverse Reinforcement Learning

no code implementations • 19 Nov 2022 • Yaxuan Wang, Zhixin Zeng, Qijun Zhao

Inspired by expert evaluation policy for urban perception, we proposed a novel inverse reinforcement learning (IRL) based framework for predicting urban safety and recovering the corresponding reward function.

reinforcement-learning Reinforcement Learning (RL)