Kevin Wang

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

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

Everything said about Kevin Wang, oldest first

Dec 31, 2025 bullish
Assertion Supported
Wang: Deep Self-Supervised Method Beats SOTA on Goal-Conditioned RL Significantly
“We do achieve state-of-the-art performance on goal-conditioned RL and Jack's CCRL by a significant amount.”
Kevin Wang Dec 31, 2025 ▶ 21:24 [NeurIPS Best Paper] 1000 Layer Networks for Self-Supervised RL — Kevin Wang et al, Princeton
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 neutral
Assertion Supported
Wang: 64 layers saturate performance in most reinforcement learning tasks
“Within our paper, like, for most environments we are able to, like, saturate, like, get to, like, almost perfect performance within just, you know, we don't even need to get to, like, a thousand layers. Like, maybe just 64 layers, for example, is sufficient.”
Kevin Wang Dec 31, 2025 ▶ 15:25 [NeurIPS Best Paper] 1000 Layer Networks for Self-Supervised RL — Kevin Wang et al, Princeton
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