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Marcus Hutter is a senior research scientist at DeepMind and professor at Australian National University. Throughout his career of research, including with Jürgen Schmidhuber and Shane Legg, he has proposed a lot of interesting ideas in and around the field of artificial general intelligence, including the development of the AIXI model which is a mathematical approach to AGI that incorporates ideas of Kolmogorov complexity, Solomonoff induction, and reinforcement learning.
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EPISODE LINKS:
Hutter Prize: http://prize.hutter1.net.
Marcus web: http://www.hutter1.net.
Books mentioned:
- Universal AI: https://amzn.to/2waIAuw.
- AI: A Modern Approach: https://amzn.to/3camxnY
- Reinforcement Learning: https://amzn.to/2PoANj9
- Theory of Knowledge: https://amzn.to/3a6Vp7x.
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