
26:47
but the accuracy on this robustified dataset will be lower than accuracy on non-robust one, right?

52:46
Does this mean that when the robust models are wrong are they usually more "sensibly" wrong?

01:22:50
great lectures! do you know of any work being done in the context of "robust" reinforcement learning, especially exploring phenomena qualitatively different from the supervised setting?

01:24:16
great lectures, I learned a lot, thank you!

01:29:03
Thank you!