People, every show

Benjamin Eysenbach

Assistant Professor of Computer Science, Princeton University. On 1 show, 1 appearance. The Shows tab opens the full record on each.

academicscientist@ben_eysenbach ↗ben-eysenbach.github.io ↗

He leads the Princeton Reinforcement Learning Lab, researching self-supervised control, autonomous exploration, and scalable reinforcement learning algorithms. Prior to Princeton, he conducted research at Google Brain and earned his Ph.D. from Carnegie Mellon University.

What they said3 Shows1

Everything Benjamin Eysenbach said on any show that made the record, most notable first. Each card names its show and opens the statement there.

LATENT SPACE Insight

Eysenbach: 1,000-layer RL requires reward-free objectives, not just architectural tricks

“I think the main conclusion is that using big networks not only requires these architectural tricks, but also, as Kevin mentioned before, it requires using a different objective. This objective doesn't actually use rewards in it, and so there's another word in…”

Benjamin Eysenbach Dec 31, 2025 ▶ 8:08 [NeurIPS Best Paper] 1000 Layer Networks for Self-Supervised RL — Kevin Wang et al, Princeton

LATENT SPACE 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

LATENT SPACE Assertion Supported

Eysenbach: Historically, 'deep' RL meant only two to four layers

“So it's like, probably my lab works on deep reinforcement learning, but historically deep meant like two or three or four layers.”

Benjamin Eysenbach Dec 31, 2025 ▶ 2:15 [NeurIPS Best Paper] 1000 Layer Networks for Self-Supervised RL — Kevin Wang et al, Princeton

One line per show, most statements first. The link opens Benjamin's full record on that show: the calibration, argument clarity, speaking style and every statement made there.

Show	Role there	Eps	Statements	Record
LATENT SPACELEDGER	Assistant Professor of Computer Science, Princeton University	1	3	100% 2/2	full record on Latent Space →