milestone(SNNBot): 48% hit rate, grid accumulator with warm-start + frozen DECIDE snapshot — pausing for BNNBot exploration

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

MISSION.md

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+# Mission
+
+Build a spiking neural network (SNN) bot for Tank Royale that learns to aim at moving targets using binary operations and biologically-inspired learning rules — not analytical formulas. The system must generalize from predictable movers to evasive opponents.
+
+## Why
+
+- Classical aiming (analytical lead formulas) can't handle unpredictable movement
+- SNNs offer energy-efficient, event-driven learning suited to real-time control
+- Binary operations (Hamming distance, popcount) are fast and hardware-friendly
+- The long-term goal is a bot that improves through experience, not programming
+
+## Current State
+
+Two implementations exist in `SNNBot_garage/src/`:
+- **Grid accumulator** (`reservoir.nim`, USE_RESERVOIR=true): Lookup table mapping (vPerp, distance) → lead offset. Works (~48% hit rate) but can't scale to more inputs.
+- **SNN** (`SNNBot.nim`, USE_RESERVOIR=false): LIF spiking network with SuperSpike-inspired learning. Dormant — not currently active.
+
+The grid hit its ceiling. The SNN path is the intended future.