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- research-articleJuly 2023
Human-timescale adaptation in an open-ended task space
- Jakob Bauer,
- Kate Baumli,
- Feryal Behbahani,
- Avishkar Bhoopchand,
- Nathalie Bradley-Schmieg,
- Michael Chang,
- Natalie Clay,
- Adrian Collister,
- Vibhavari Dasagi,
- Lucy Gonzalez,
- Karol Gregor,
- Edward Hughes,
- Sheleem Kashem,
- Maria Loks-Thompson,
- Hannah Openshaw,
- Jack Parker-Holder,
- Shreya Pathak,
- Nicolas Perez-Nieves,
- Nemanja Rakicevic,
- Tim Rocktäschel,
- Yannick Schroecker,
- Satinder Singh,
- Jakub Sygnowski,
- Karl Tuyls,
- Sarah York,
- Alexander Zacherl,
- Lei Zhang
ICML'23: Proceedings of the 40th International Conference on Machine LearningJuly 2023, Article No.: 80, Pages 1887–1935Foundation models have shown impressive adaptation and scalability in supervised and selfsupervised learning problems, but so far these successes have not fully translated to reinforcement learning (RL). In this work, we demonstrate that training an RL ...
- ArticleMay 2022
Secure Non-interactive Reduction and Spectral Analysis of Correlations
- Pratyush Agarwal,
- Varun Narayanan,
- Shreya Pathak,
- Manoj Prabhakaran,
- Vinod M. Prabhakaran,
- Mohammad Ali Rehan
Advances in Cryptology – EUROCRYPT 2022May 2022, Pages 797–827https://doi.org/10.1007/978-3-031-07082-2_28AbstractCorrelated pairs of random variables are a central concept in information-theoretically secure cryptography. Secure reductions between different correlations have been studied, and completeness results are known. Further, the complexity of such ...
- ArticleJuly 2021