jgrusewski
195f880fb4
feat(hyperopt): add batch_size to PPO and Liquid parameter spaces
PPO: add batch_size as 6th param (index 5)
- Static bounds: 512–8192 (PPO needs large batches for variance reduction)
- Default: 2048 (was hardcoded)
- Dynamic: scales with VRAM (200MB overhead, 0.015 MB/sample)
- Wire into PPOConfig in train_with_params()
Liquid CfC: add batch_size as 8th param (index 7)
- Static bounds: 8–512
- Default: 32 (was hardcoded)
- Dynamic: scales with VRAM (100MB overhead, 0.06 MB/sample)
- Wire into CfCTrainConfig in train_with_params()
- NUM_PARAMS: 7 → 8
All 176 hyperopt tests pass, full workspace compiles clean.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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