Princeton Reinforcement Learning Lab
@princetonrl.bsky.social
The Princeton RL lab aims to develop effective and principled reinforcement learning algorithms and their applications. 🤖🧠💭 Led by @ben-eysenbach.bsky.social
Find us at https://princeton-rl.github.io/
Find us at https://princeton-rl.github.io/
plz check out Isabel's work from our lab 🙌
Robots can plan, but rarely improvise. How do we move beyond pick-and-place to multi-object, improvisational manipulation without giving up completeness guarantees?
(1/8)
(1/8)
November 5, 2025 at 5:30 PM
plz check out Isabel's work from our lab 🙌
Hello world! We are the Princeton Reinforcement Learning Lab led by @ben-eysenbach.bsky.social
👋
At lab meeting today, Royina challenged us to optimize:
Reward = ball speed – # used papers
🤔 Are 12 students better at building than PPO 🤖?
Check out Raj's arxiv.org/abs/2510.06288
👋
At lab meeting today, Royina challenged us to optimize:
Reward = ball speed – # used papers
🤔 Are 12 students better at building than PPO 🤖?
Check out Raj's arxiv.org/abs/2510.06288
October 30, 2025 at 9:52 PM
Hello world! We are the Princeton Reinforcement Learning Lab led by @ben-eysenbach.bsky.social
👋
At lab meeting today, Royina challenged us to optimize:
Reward = ball speed – # used papers
🤔 Are 12 students better at building than PPO 🤖?
Check out Raj's arxiv.org/abs/2510.06288
👋
At lab meeting today, Royina challenged us to optimize:
Reward = ball speed – # used papers
🤔 Are 12 students better at building than PPO 🤖?
Check out Raj's arxiv.org/abs/2510.06288