Reckless v0.5.0

Release Notes

This release introduces NNUE (Efficiently Updatable Neural Network), which completely replaces the previously used HCE (Handcrafted Evaluation).

The training data was generated through self-play, initially using a randomly initialized network. It was later iteratively trained on repeatedly generated data, with each iteration improving the network's strength and data quality. The training process was carried out using a custom NNUE trainer.

Additionally, a few minor changes and refactoring have been made.

Full Changelog: v0.4.0...v0.5.0

UCI Support

• Added support for the UCI go nodes <x> command.
• Added the custom eval command.

Self-Play Benchmark Against v0.4.0

STC 8+0.08s

Score of Reckless 0.5.0 vs Reckless 0.4.0: 811 - 46 - 143 [0.882] 1000
...      Reckless 0.5.0 playing White: 411 - 22 - 67  [0.889] 500
...      Reckless 0.5.0 playing Black: 400 - 24 - 76  [0.876] 500
...      White vs Black: 435 - 422 - 143  [0.506] 1000
Elo difference: 350.3 +/- 27.2, LOS: 100.0 %, DrawRatio: 14.3 %

LTC 40+0.4s

Score of Reckless 0.5.0 vs Reckless 0.4.0: 376 - 18 - 106 [0.858] 500
...      Reckless 0.5.0 playing White: 203 - 3 - 44  [0.900] 250
...      Reckless 0.5.0 playing Black: 173 - 15 - 62  [0.816] 250
...      White vs Black: 218 - 176 - 106  [0.542] 500
Elo difference: 312.5 +/- 33.0, LOS: 100.0 %, DrawRatio: 21.2 %