And finally in Part 3, we add in Neural Networks to "learn" from past experiences. I've taught about AlphaZero in lecture before, but I've never had an interactive example like this. This is my attempt to make this material more accessible to a wider audience! PART 3: youtu.be…
Who's Who of AI
Mihai Nica
Mathematician working on probability and ML at U of Guelph in Canada. I also make math videos at https://youtube.com/@MihaiNicaMath
What they're sharing
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Articles & links
Part 1 lays the foundation of rollouts and the UCB algorithm to solve "explore vs exploint". In part 2 we build up game trees using UCB using something called the "Monte Carlo Tree Search" algorithm. PART 2: youtu.be/uQUsAndESdQ
I made a 3 part YouTube series on *AlphaZero Explained* which explains the math/algorithm behind Google DeepMind's AI that achieved superhuman performance in Chess & Go. All 3 videos come with an *interactive online Python notebook* using Connect 4 as an example. PART 1: youtu…
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In Mihai Nica's orbit
Center = Mihai Nica. Left = members they follow (green edges). Right = members who follow them (blue edges). Top = mutual follows (orange edges, slightly larger). Drag any node to reposition; click to open that profile.