Gday,

so my goal is to train an agent to play MarioKart on the Nintendo DS. My first approach (in theory) was to setup an emulator on my pc and let the agent play for ages. But then a colleague suggested to train the agent first on pre recorded humanly played video data, to achieve some sort of base level. And then for further perfection let the agent play for its own with the emulator.

BUT. I have no clue how training with video data works. E.g. I wonder how to calculate a loss since there is no reward. Or am I getting the intuition wrong?

I would appreciate it if someone could explain this technique to me.

My goal is to train an agent to play MarioKart on the Nintendo DS. My first approach (in theory) was to setup an emulator on my pc and let the agent play for ages. But then a colleague suggested to train the agent first on pre recorded humanly played video data, to achieve some sort of base level. And then for further perfection let the agent play for its own with the emulator.

But I have no clue how training with video data works. E.g. I wonder how to calculate a loss since there is no reward. Or am I getting the intuition wrong?

I would appreciate it if someone could explain this technique to me.