17c99f542f
The classic captures were OPEN-LOOP: replayed DrussGT never dodged OUR
bullets. These come from real TR battles through the working Java bridge, so
the recording contains genuine reactions to ModularBot's live fire. The
open-loop caveat is gone (perfect-information remains).
PRIMARY RESULT - the boss beats us badly. DrussGT 1447 - ModularBot 300 over
15 rounds, ModularBot winning only round 5 (DrussGT died at tick 1893). Rounds
are long, not truncated: mean 1335 ticks, ModularBot got off 1134 shots.
ModularBot 1134 shots / 60 hits = 5.3% real hit rate
DrussGT 1400 shots / 169 hits = 12.1% real hit rate
So DrussGT's gun is ~2.3x more accurate than our entire rack, on top of far
better movement. That is the number to move.
Also captured: shield-on variant (DrussGT 939-287, 9/10 - ModularBot takes
round 1 to the known shield warm-up), and vs SpinBot 1175-0, Crazy 1080-1,
Corners 1659-0. 20,026 + 12,629 + 10,824 + 11,507 + 2,575 ticks.
Movement statistics match the classic set within ~0.04 on the perpendicular
and radial fractions, so this is the same wave surfer in TR physics:
TR vs modularbot: perp 0.967, radial 0.001, 52.8% at full speed,
reversing 46.3%, median range 464 px.
CLOSED LOOP PROVEN, not asserted. ModularBot's fire is a heat-limited near
metronome (median interval 14 ticks), which gives a usable exogenous clock:
- event-locked |delta heading| oscillates 0.96 -> 2.69 deg about a 1.47 deg
mean with the fire period, almost every lag outside the 95% band of a
400-iteration phase-shuffled null;
- cross-correlation of |delta heading| against the fire impulse peaks at
r = +0.111, lag 12 ticks, permutation p = 0.005 (null peak mean +0.016);
- OWN-FIRE CONTROL is flat, so the oscillation is enemy-driven rather than
an internal cadence;
- range response is weak (~3 px over 30 ticks, near noise) and is therefore
NOT claimed, and per-bullet dodging is not claimed either because the
bullet detector (shield) is off.
CAVEATS: still perfect-information (observer gives true positions every tick,
unlike the live bot's stale between-scan WorldState) so these remain optimistic
vs live play; and they are open-loop AT REPLAY TIME - 'closed_loop' describes
the capture, not a later replay. TR conversion residual is ~1.5 deg mean
because the TR server moves along the pre-turn heading, vs 0.000 deg for the
classic captures.
Adds analyze_closed_loop.py (PSTH event-locking, phase-shuffle permutation
null, cross-correlation, own-fire control) and per-round result sidecars.
13 lines
887 B
JSON
13 lines
887 B
JSON
{"roundResults":[
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"[capture] ROUND 1 (turn 1453): DrussGT rank=1 score=95 | Crazy rank=2 score=1 | ",
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"[capture] ROUND 2 (turn 666): DrussGT rank=1 score=249 | Crazy rank=2 score=1 | ",
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"[capture] ROUND 3 (turn 1356): DrussGT rank=1 score=355 | Crazy rank=2 score=1 | ",
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"[capture] ROUND 4 (turn 771): DrussGT rank=1 score=470 | Crazy rank=2 score=1 | ",
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"[capture] ROUND 5 (turn 1369): DrussGT rank=1 score=561 | Crazy rank=2 score=1 | ",
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"[capture] ROUND 6 (turn 1182): DrussGT rank=1 score=662 | Crazy rank=2 score=1 | ",
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"[capture] ROUND 7 (turn 813): DrussGT rank=1 score=790 | Crazy rank=2 score=1 | ",
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"[capture] ROUND 8 (turn 1400): DrussGT rank=1 score=899 | Crazy rank=2 score=1 | ",
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"[capture] ROUND 9 (turn 857): DrussGT rank=1 score=987 | Crazy rank=2 score=1 | ",
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"[capture] ROUND 10 (turn 1640): DrussGT rank=1 score=1080 | Crazy rank=2 score=1 | "
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]}
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