Great question! Yes, this works much like the doom player. Sensor data (LIDAR, velocity, etc.) becomes the state. You use the score primitive to operate the controls ("What level of braking should be applied" 0: None, 1: just slightly slowing down, 2: there's a suspicious cat on the side of the road you don't trust, ...
Great question! Yes, this works much like the doom player. Sensor data (LIDAR, velocity, etc.) becomes the state. You use the score primitive to operate the controls ("What level of braking should be applied" 0: None, 1: just slightly slowing down, 2: there's a suspicious cat on the side of the road you don't trust, ...
Full disclosure, I am not they :=)
But the real problem in self driving isn't the decision making but object description. That is, computer vision if with cameras.
Decision making isn't that of a bottleneck I suppose.
This smells like a tool a more broadly capable LLM would take advantage of extremely well.