In this session I will share my journey that started with me taking my children discarded toys and trying to get them to drive themselves, to a fully autonomous driving model car.
10. METHOD Supervised learning
HOW IT WORKS Expert driver controls a real
world car, that has a camera. Save the images
from the camera as inputs and corresponding
driving actions (speed and steering angle) as
outputs. Train a model.
RESULT Provide state(image) into model and
receive driving action
RL vs. other approaches for robotic racing
METHOD Reinforcement learning
HOW IT WORKS Virtual agent repeatedly
interacts with a simulated environment and
logs experience (image, action, new state,
reward). Experience is used to train a model,
and new model is used to get more
experience.
RESULT Provide state(image) into model and
receive driving action