alpha-fly
turlockmike
Takes the MaleCNS wiring unchanged and trains it at chess by AlphaZero self-play. The board enters 17,937 sensory neurons, activity runs six steps through the graph, and the move and evaluation are read from 2,333 efferent and descending neurons; training adjusts only a gain per synapse, a resting level and time constant per neuron, and the linear maps. After 322,016 self-play games and 23 GPU hours it matches Stockfish at UCI Elo 1320. The failures are kept: adjudicating on material taught it that sitting on a lead was winning, and half precision erased a signal a hundredth the resting level.
Sources checked
Every fact above was read from these pages on the date the entry was added.
- raw.githubusercontent.com https://raw.githubusercontent.com/turlockmike/alpha-fly/HEAD/README.md
- turlockmike.github.io https://turlockmike.github.io/alpha-fly/