George Hotz

It's trained on all the driving data to predict the next frame.

It's trained on all the driving data to predict the next frame.

Well, actually our simulator is conditioned on the pose. So it's actually a simulator. You can put in like a state action pair and get out the next state. Okay. And then once you have a simulator, you can do RL in the simulator and RL will get us that human policy.

Well, actually our simulator is conditioned on the pose. So it's actually a simulator. You can put in like a state action pair and get out the next state. Okay. And then once you have a simulator, you can do RL in the simulator and RL will get us that human policy.

Well, actually our simulator is conditioned on the pose. So it's actually a simulator. You can put in like a state action pair and get out the next state. Okay. And then once you have a simulator, you can do RL in the simulator and RL will get us that human policy.

Yeah. RL with a reward function, not asking is this close to the human policy, but asking would a human disengage if you did this behavior?

Yeah. RL with a reward function, not asking is this close to the human policy, but asking would a human disengage if you did this behavior?

Yeah. RL with a reward function, not asking is this close to the human policy, but asking would a human disengage if you did this behavior?

It's a nice... It's asking exactly the right question. What will make our customers happy?

It's a nice... It's asking exactly the right question. What will make our customers happy?

It's a nice... It's asking exactly the right question. What will make our customers happy?

A system that you never want to disengage.

A system that you never want to disengage.

A system that you never want to disengage.

Usually. There's some that are just, I felt like driving. And those are always fine too. But they're just going to look like noise in the data.

Usually. There's some that are just, I felt like driving. And those are always fine too. But they're just going to look like noise in the data.

Usually. There's some that are just, I felt like driving. And those are always fine too. But they're just going to look like noise in the data.

Maybe, yeah.

Maybe, yeah.

Maybe, yeah.