What made you willing to make a bet? It

seemed relatively low cost in that we, Michal in particular, had spent the past year developing infrastructure that made it a lot easier to run some of these experiments.

And the precedent was deeper networks should do a whole lot better.

That's what the deep learning revolution has been over the last decade.

Yeah, I know.

Why do we stop making them deeper? And reinforcement learning was like this one anomaly where we continue to use these really shallow networks.

And that's particularly true in the settings that we were looking at where you're starting from scratch.

What additional work does this inspire that you want to push on next?

What, what made you willing to make a bet? Like-

It seemed relatively low cost, uh, in that we, Michal in particular had spent the past year developing infrastructure that made it a lot easier to run some of these experiments.

And the precedent was deeper networks could do a whole lot better.

Like that's what the deep learning res- revolution has been over the last decade.

And-

We can just go.

Yeah, we take big networks from...

Add them to PPO, add them to SAC, add them to your favorite reinforcement learning algorithm.