Hi! I am Oleh, a reinforcement learning researcher at xAI.
I am interested in learning generalizable intelligence by large-scale RL.I received my Ph.D. from University of Pennsylvania, where I worked with Kostas Daniilidis and Sergey Levine, and I did a postdoc at UC Berkeley with Pieter Abbeel and Sergey Levine. Previously, I received my bachelor's degree from Czech Technical University in Prague. I've also spent time at INRIA, TiTech, Google Brain, and DeepMind.
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This is a list some books and shorter papers that changed my understanding of the field of AI and science in general. I hope you might find this useful too! The list is evolving, and suggestions for new reading material are welcome.
Books:
The Structure of Scientific Revolutions , Thomas S. Kuhn.
Vision , David C. Marr.
Short works:
Computing Machinery and Intelligence , Alan M. Turing.
The importance of stupidity in scientific research , Martin A. Schwartz.
You and Your Research , Richard W. Hamming.
As we may think , Vannevar Bush.
Levels of Analysis for Machine Learning , Jessica Hamrick, Shakir Mohamed.
How to Do Great Work , Paul Graham.
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