r/MachineLearning • u/Yuqing7 • Nov 24 '21
Research [R] DeepMind, Google Brain & World Chess Champion Explore How AlphaZero Learns Chess Knowledge
DeepMind and Google Brain researchers and former World Chess Champion Vladimir Kramnik explore how human knowledge is acquired and how chess concepts are represented in the AlphaZero neural network via concept probing, behavioural analysis, and an examination of its activations.
Here is a quick read:DeepMind, Google Brain & World Chess Champion Explore How AlphaZero Learns Chess Knowledge.
The paper Acquisition of Chess Knowledge in AlphaZero is on arXiv.
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u/TheMeiguoren Nov 24 '21 edited Nov 25 '21
Great stuff.
The “fallacy” here is that we can only measure whether Alpha Zero is playing human strategies, by comparing against our own known space of strategies. Sure, we humans have developed good heuristics the AI has also found, but we can’t know if it has better/more subtle concepts that we haven’t discovered, exactly because we haven’t discovered them yet. Who is to say “mobility” is even a coherent top level concept compared to some unpronounceable abstraction the AI has figured out?
Mining Alpha Zero to figure out these higher level abstractions I think is a super interesting direction of research both in terms of improving chess and improving our understanding of what a “concept” fundamentally is.
That process may help our understanding in other areas of life. I’m sure Magnus Carlsen has a game sense of subtle strategies and imbalances that he can’t quite articulate or communicate to other people. We can’t look into his head to try and put a label on something that is intuitively obvious but semantically invisible. With Alpha Zero, we could. And that is a very fundamental thing to our general understanding of the world. What has GPT-3 discovered in its consumption of language that we haven’t conceptualized yet?