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I think many chess players will agree that latest chess engines (Stockfish NNUE/Leela) are playing better conceptually, so it's less useful to use older ones (S
by EvgeniyZh 4y ago
I think many chess players will agree that latest chess engines (Stockfish NNUE/Leela) are playing better conceptually, so it's less useful to use older ones (SF8/A0) to study learned concepts. Still cool work tho.
- tiagod 4y agoYou'll find that the abstract makes the explicit point that Alpha0 lends itself to more interesting findings as it had no exposure to how humans think about chess.
- EvgeniyZh 4y agoBoth SF and Leela use NN eval tho, not trained on human games
- civilized 4y agoThe goal is to discover and analyze the concepts used by an expert AI player, so it isn't vital that the player be the strongest so long as it is expert. AlphaZero is also more interesting when you want to know how a general game-playing AI trained from scratch approaches the game.
- mtlmtlmtlmtl 4y agoHaven't read the paper yet but given relevance to what I'm doing atm it's high on my list. I think using pre-NNUE Stockfish is partly because the classic Stockfish evaluation function has a lot of human knowledge explicitly built in in already interpretable ways, making it a good contrast for comparison.