As the summer draws to a close, our group has completed the first stage necessary to begin to apply machine learning techniques to extrapolate human tendencies from human data.
Our bot can now replay human data as well as record raytrace data, see below post, that results from the human choices. We need only a little more information. Andrew is gathering original human data, including bot acceleration and rotation, to determine key stroke and mouse information from the human player. This is the most direct information we have for human reaction to sensory input. I am working turning this data around to correlate to bot movement, while Jacob works on background infrastructure.
The plan is to implement a neural network before the summer ends!
