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9b79d18201a0caa48224245b47e4b270bd835407
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8 Commits
Author SHA1 Message Date
rgriffithandClaude Opus 4.6 9b79d18201 feat(lan-client): triggers panel + CMD DMG score badges + fix encoding project-wide 
Left action panel revised to show triggers list + Create Token/Auto-Arrange.
CMD DMG badges added to center life-panel score areas (click opens matrix).
Removed renderEnhancedPanels calls that split the battlefield on damage adjust.
Added encoding='utf-8' to all bare open() calls across 17 Python files to
prevent cp1252 crashes on MTG card text with smart quotes/em-dashes.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
 2026-04-05 22:14:56 -04:00
KoalaTrapLord ddfe8e601e fix(eval): parse batch JSON output instead of JSONL for Forge game results 2026-03-30 16:12:20 -04:00
KoalaTrapLord 9e3cd45936 fix(eval): require >= 3 decks for Forge availability check 2026-03-30 15:45:20 -04:00
rgriffith 6fadeaa387 fix(eval): replace Java bridge imports with subprocess CLI launch for Forge eval 2026-03-30 14:23:52 -04:00
rgriffith 574bb79a0b fix(eval): correct indentation for load/reload in _load_policy_service 2026-03-30 10:36:43 -04:00
KoalaTrapLord 5554ef4dd7 fix(eval): call load() for embeddings before reload() for checkpoint 2026-03-30 09:53:56 -04:00
KoalaTrapLord cf2d7ed806 fix(eval): use reload() with explicit checkpoint path instead of load() 
load() hardcodes best_policy.pt but PPO trainer saves as best_ppo.pt, causing the model to never load during eval. reload() accepts an explicit path.
 2026-03-30 09:51:22 -04:00
KoalaTrapLord bff7b3a81e feat(eval): add forge_evaluator, eval_policy, compare_eval for issue #153 
- ml/eval/forge_evaluator.py: reusable eval harness wrapping
  MultiThreadBatchRunner + PolicyInferenceService; collects win rate,
  avg turns, life differential, commander damage, illegal action rate,
  policy entropy per game; writes results/eval-{run_id}.json
- scripts/eval_policy.py: CLI to run N Forge eval games with any
  checkpoint vs forge-builtin or policy-server opponent; supports
  --threads, --clock, --seed, --greedy, --temperature
- scripts/compare_eval.py: loads two result JSONs, computes absolute
  win-rate delta + 95% CI, runs Fisher's exact test for significance,
  prints formatted comparison table and pass/fail verdict
 2026-03-29 04:49:43 -04:00