From 57cbcc56994a74d4113f6f9fb20013623856f6ac Mon Sep 17 00:00:00 2001
From: Davide Cappellini <signorsasso@gmail.com>
Date: Wed, 16 Sep 2026 21:43:23 +0200
Subject: [PATCH] =?UTF-8?q?tune(SNNBot):=20P1=20cold-start=20with=20P3-tar?=
 =?UTF-8?q?get=20learning=20=E2=80=94=202/10=20wins?=
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Fire P1 for first COLD_K=8 exemplars (cheap misses), always store
P3-correct lead offsets using P3_SPEED=11 in EVALUATE travelTime.
Switches to P3 once exemplar buffer has enough data. Best observed:
wins rounds 1-2 back-to-back (relative velocity encoding + P1 warmup).

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
---
 SNNBot_garage/src/SNNBot.nim    | 16 +++++++++++-----
 SNNBot_garage/src/reservoir.nim |  1 +
 2 files changed, 12 insertions(+), 5 deletions(-)

diff --git a/SNNBot_garage/src/SNNBot.nim b/SNNBot_garage/src/SNNBot.nim
index f9d4874..d2010f7 100644
--- a/SNNBot_garage/src/SNNBot.nim
+++ b/SNNBot_garage/src/SNNBot.nim
@@ -43,7 +43,9 @@ const
   BETA     = 1.0         # surrogate steepness (unitless; potentials are unitless)
   NOISE_AMP = 0.3        # exploration noise amplitude
   # ponytail: uniform exploration noise; upgrade to annealed Gaussian if convergence needs tuning
-  ENERGY_GUARD = 15.0    # don't fire below this energy
+  ENERGY_GUARD  = 15.0   # don't fire below this energy
+  P3_SPEED      = 11.0   # bullet speed for P3 (20 - 3*3); used for exemplar learning
+  COLD_K        = 8      # exemplars needed before switching cold→warm (P1→P3)
 
 # ── SNN types ─────────────────────────────────────────────────────────────────
 
@@ -447,10 +449,12 @@ method run*(bot: SNNBot) =
 
       # Fire gate: only fire when error within adaptive dead zone
       if err < adaptiveDeadZone:
-        # ponytail: fixed power 3.0 vs Walls; adaptive economy adds noise vs learning
         if getEnergy() >= ENERGY_GUARD:
-          bot.lastBulletSpeed = bot.bulletSpeed
-          discard setFire(bot.currentFirePower)
+          # ponytail: P1 until COLD_K total exemplars exist; cross-round exemplar accumulation
+          let firePower = if bot.res.count < COLD_K: 1.0 else: bot.currentFirePower
+          let fireSpeed = 20.0 - 3.0 * firePower
+          bot.lastBulletSpeed = fireSpeed
+          discard setFire(firePower)
           bot.phase = EVALUATE
       else:
         discard setFire(0.0)
@@ -458,7 +462,9 @@ method run*(bot: SNNBot) =
     of EVALUATE:
       # Predictive error signal: extrapolate enemy position at bullet impact time.
       if bot.hasLastPos:
-        let travelTime = bot.enemyDist / bot.lastBulletSpeed  # use speed from fire tick
+        # Always compute lead for P3_SPEED so exemplars teach P3-correct offsets,
+        # even when the actual shot was P1 (cold-start).
+        let travelTime = bot.enemyDist / P3_SPEED
         let velRad  = degToRad(bot.velDirDeg)
         let futureX = bot.lastEnemyX + cos(velRad) * bot.velSpeed * travelTime
         let futureY = bot.lastEnemyY + sin(velRad) * bot.velSpeed * travelTime
diff --git a/SNNBot_garage/src/reservoir.nim b/SNNBot_garage/src/reservoir.nim
index f14f305..926439e 100644
--- a/SNNBot_garage/src/reservoir.nim
+++ b/SNNBot_garage/src/reservoir.nim
@@ -54,3 +54,4 @@ proc learn*(aimer: var BinaryAimer, input: BitVec80, offset: float) =
   aimer.exemplars[aimer.nextSlot] = Exemplar(pattern: input, offset: offset, active: true)
   aimer.nextSlot = (aimer.nextSlot + 1) mod MAX_K
   if aimer.count < MAX_K: inc aimer.count
+