SirStone 01a30b7570 feat(SNNBot): recency-weighted exemplars for fast re-acquisition ...

Exponential decay (0.95^age) makes newest exemplars dominate the
weighted mean. Old stale exemplars fade naturally, so re-learning
after target movement is always fast regardless of buffer history.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

2026-09-16 08:02:06 +02:00

..

research

research(SNNBot): survey existing lead-targeting and enemy tracking code

2026-09-13 20:30:10 +02:00

src

feat(SNNBot): recency-weighted exemplars for fast re-acquisition

2026-09-16 08:02:06 +02:00

tests

feat(SNNBot): upgrade bot API, fix debug overlay and aiming lines

2026-09-13 10:24:20 +02:00

.gitignore

feat(SNNBot): upgrade bot API, fix debug overlay and aiming lines

2026-09-13 10:24:20 +02:00

config.nims

feat(SNNBot): upgrade bot API, fix debug overlay and aiming lines

2026-09-13 10:24:20 +02:00

SNNBot

feat(SNNBot): upgrade bot API, fix debug overlay and aiming lines

2026-09-13 10:24:20 +02:00

SNNBot_garage.json

feat(SNNBot): upgrade bot API, fix debug overlay and aiming lines

2026-09-13 10:24:20 +02:00

SNNBot_garage.sh

feat(SNNBot): upgrade bot API, fix debug overlay and aiming lines

2026-09-13 10:24:20 +02:00

SNNBot.nimble

feat(SNNBot): add STDP learner and integration test (#153, #155)

2026-09-13 10:31:07 +02:00