Symbolic Imitation Learning: From Black-Box to Explainable Driving Policies

Iman Sharifi, Mustafa Yildirim, Saber Fallah

Current imitation learning approaches, predominantly based on deep neural networks (DNNs), offer efficient mechanisms for learning driving policies from real-world datasets. Howeve…