Seer is an original, strong UCI chess engine. Seer relies on a neural network estimating WDL probabilities for position evaluation. Seer's network is trained through a novel retrograde learning approach starting only from 6-man syzygy EGTB WDL values. Seer uses a conventional alpha-beta search combined with "Lazy SMP" (shared transposition table) for multithreading support.

License: GPL 3.0

CCRL Blitz Elo: 3546

CCRL 40/15 Elo: 3407

Current OSCET ranking position: 5