Ben Eysenbach @ben_eysenbach
Prof @ Princeton CS working on AI/ML/RL. ben-eysenbach.github.io Joined March 2021-
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I've been excited about self-predictive representations in RL because they keep cropping up in different areas with different motivations. @twni2016 's paper starts to chart this landscape, revealing connections between these methods and offering some practical advice!
I've been excited about self-predictive representations in RL because they keep cropping up in different areas with different motivations. @twni2016 's paper starts to chart this landscape, revealing connections between these methods and offering some practical advice!
I'm excited to share @GhugareRaj's new paper describing how "stitching" in RL is really a form of generalization, which can be approached the same way we tackle generalization in supervised learning (augmentation). Paper: arxiv.org/pdf/2401.11237… Code: github.com/RajGhugare19/s…
I'm excited to share @GhugareRaj's new paper describing how "stitching" in RL is really a form of generalization, which can be approached the same way we tackle generalization in supervised learning (augmentation). Paper: arxiv.org/pdf/2401.11237… Code: github.com/RajGhugare19/s…
It's been fun working with @twni2016 and collaborators to better understand the role of architectures and representations on deep RL. Check out the talk+poster at #NeurIPS2023, plus more recent work at the workshops!
It's been fun working with @twni2016 and collaborators to better understand the role of architectures and representations on deep RL. Check out the talk+poster at #NeurIPS2023, plus more recent work at the workshops!
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75 Followers 640 Following@EugeneVinitsky A bit late , but @ben_eysenbach . Favorite work : "Information Geomtery of Unsupervised Reinforcement Learning"
Also, big congrats and heartfelt thanks to @furongh @HarryXu12 @McaleerStephen @ben_eysenbach for their very helpful and invaluable support!!! 💐🙏
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