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  1. 26 de feb. de 2020 · Marcus Hutter is a senior research scientist at DeepMind and professor at Australian National University. Throughout his career of research, including with J...

  2. 19 de jul. de 2022 · Formal Algorithms for Transformers. Mary Phuong, Marcus Hutter. This document aims to be a self-contained, mathematically precise overview of transformer architectures and algorithms (*not* results). It covers what transformers are, how they are trained, what they are used for, their key architectural components, and a preview of the most ...

  3. AIXI is a universal theory of sequential decision making akin to Solomonoff's celebrated universal theory of induction. Solomonoff derived an optimal way of predicting future data, given previous observations, provided the data is sampled from a computable probability distribution. AIXI extends this approach to an optimal decision making agent ...

  4. Marcus Hutter. We study upper and lower bounds on the sample-complexity of learning near-optimal behaviour in finite-state discounted Markov Decision Processes (mdps). We prove a new bound for a ...

  5. Marcus Hutter. Advances in Knowledge Discovery and Data Mining: 13th Pacific-Asia …. Proceedings of the IEEE conference on computer vision and pattern …. Algorithmic Learning Theory: 23rd International Conference, ALT 2012, Lyon …. Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat ….

  6. 17 de mar. de 2022 · Date: 17 March 2022Speaker: Marcus HutterTitle: Foundations of InductionAbstract: Humans and many other intelligent systems (have to) learn from experienc...