Ishan Gaur

2 statements across 1 episodes · 2 bullish · 0 bearish · 2 people on the record · first statement Dec 31, 2025 by Benjamin Eysenbach · across every show →

On the record as a speaker too: Ishan Gaur's record, appearances and statements → this page counts the times other people say the name.

Everything said about Ishan Gaur, oldest first

Dec 31, 2025 positive
Assertion Supported
Eysenbach: Scaling RL depth requires combining depth with residual connections
“And if we just made the depth bigger, it makes it worse. If we just add residual connections, it didn't make it better. And it was really this combination of factors that Kevin and Ishan figured out that really made this work.”
Benjamin Eysenbach Dec 31, 2025 ▶ 5:56 [NeurIPS Best Paper] 1000 Layer Networks for Self-Supervised RL — Kevin Wang et al, Princeton
Dec 31, 2025 positive
Assertion Supported
Gaur: Scaling depth is more parameter- and sample-efficient than width in RL
“But when you look at the number of parameters that your network has as you grow with, it's roughly a quadratic as opposed to something like growing depth, so it's more, in some sense, it's more parameter efficient, also more sample efficient from the experimen…”
Ishan Gaur Dec 31, 2025 ▶ 6:42 [NeurIPS Best Paper] 1000 Layer Networks for Self-Supervised RL — Kevin Wang et al, Princeton
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