• Pranit Gopaldas Shah
• Hiral Pranit Shah

Transferring learning from humans to the machine has been a farfetched dream of the human race. Human behavior is a confluence year of neurobiological learning. A spontaneous reaction to an event is embedded through the firing of some neurons in the same sequence for countless times. Behavioral Cloning deals with the problem of transferring the actions-reactions of a human to a machine. The machine is expected to imitate the actions-reactions of a human-based on training. This paper investigates recent methods used in Behavioral cloning implemented specifically for autonomous driving. Methods were evaluated by comparing the techniques they rely upon, type of work, use of theoretical proofs and simulations.

Behavioral Cloning, Transfer Learning, Machine Learning, Computer Vision, Convolutional Neural Networks.

"Behavioral Cloning: Convolutional Neural Networks to Transfer Learning from Humans to Machines", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.694-699, May-2019, Available :http://www.jetir.org/papers/JETIR2003108.pdf

"Behavioral Cloning: Convolutional Neural Networks to Transfer Learning from Humans to Machines", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp694-699, May-2019, Available at : http://www.jetir.org/papers/JETIR2003108.pdf