Princeton Reinforcement Learning Lab

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Princeton Reinforcement Learning Lab

Princeton Reinforcement Learning Lab

@princeton_rl

The Princeton RL lab aims to develop effective and principled reinforcement learning algorithms and their applications. 🤖🧠💭 Led by @ben_eysenbach

Princeton, NJ Katılım Eylül 2025

12 Takip Edilen99 Takipçiler

Princeton Reinforcement Learning Lab

Princeton Reinforcement Learning Lab@princeton_rl·14 Şub

🤖 check out @chongyiz1 ‘s new work on a new unsupervised pre-training method for RL!

Chongyi Zheng@chongyiz1

Representation learning is all about capturing the right prior. What is the right prior for *reinforcement learning*? We propose a new unsupervised pre-training method for RL: chongyi-zheng.github.io/onestep-fb. 🧵⬇️

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Princeton Reinforcement Learning Lab

Princeton Reinforcement Learning Lab@princeton_rl·7 Ara

Grace and @MBastankhah will be at the #NeurIPS2025 Coginterp tomorrow!

Grace Liu@GraceLiu78

I’m excited to present our poster “Demystifying the Mechanisms Behind Emergent Exploration in Goal-Conditioned RL” at the Coginterp workshop at #NeurIPS2025! mahsa-bastankhah.github.io/demystifying-s… 📅 Dec 7 1:15 PM Upper Level Room 5AB @princeton_rl @MBastankhah

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Princeton Reinforcement Learning Lab

Princeton Reinforcement Learning Lab@princeton_rl·6 Ara

Our very own Mahsa’s poster is tomorrow! 🥳🤩

Mahsa Bastankhah@MBastankhah

I’m excited to present our work “Demystifying the Mechanisms Behind Emergent Exploration in Goal-Conditioned RL” at the Aligning RL Experimentalists & Theorists workshop at #NeurIPS2025! 📅 Dec 6 🕞 3:30 PM 📍 Poster Session, Upper Level Room 31ABC @princeton_rl @GraceLiu78

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Princeton Reinforcement Learning Lab

Princeton Reinforcement Learning Lab@princeton_rl·4 Ara

Alicja will be around at #NeurIPS2025 to chat about her very cool work on contrastive learning for temporal reasoning! 🥳🙌

Alicja Ziarko@ZiarkoAlicja

I’m so excited to be presenting at NeurIPS again this year! We’ll be showing our poster “Contrastive Representations for Temporal Reasoning” on Wednesday at 11am. @princeton_rl

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Princeton Reinforcement Learning Lab

Princeton Reinforcement Learning Lab@princeton_rl·4 Ara

Plz don't forget to stop by and check out our very own Raj's #NeurIPS2025 poster on normalizing flows on Friday, 2:00-5:00 pm in Exhibit Hall C,D,E #312 🙌🥳

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Princeton Reinforcement Learning Lab

Princeton Reinforcement Learning Lab@princeton_rl·5 Kas

plz check out Isabel's work from our lab 🙌

Isabel Liu@YijieIsabelLiu

Robots can plan, but rarely improvise. How do we move beyond pick-and-place to multi-object, improvisational manipulation without giving up completeness guarantees? We introduce Shortcut Learning for Abstract Planning (SLAP), a new method that uses reinforcement learning (RL) to discover shortcuts in the planning graphs induced by task and motion planning (TAMP) skill libraries. It is a plug-and-play module that can be trained on top of existing planners to speed up execution through learned shortcuts. (1/5)

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Princeton Reinforcement Learning Lab

Princeton Reinforcement Learning Lab@princeton_rl·31 Eki

Hello world! We are the Princeton Reinforcement Learning Lab led by @ben_eysenbach 👋 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

Princeton Reinforcement Learning Lab tweet media

Princeton Reinforcement Learning Lab tweet media

Princeton Reinforcement Learning Lab tweet media

Princeton Reinforcement Learning Lab tweet media

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Keşfet

@chongyiz1 @MBastankhah @ben_eysenbach @elonmusk @BarackObama @taylorswift13 @cristiano @BillGates