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Focus project on JAX PPO

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coolguy
2026-07-14 20:09:03 +09:00
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docs/research/post-a-optimization-calculus.md
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@@ -9,7 +9,7 @@ Why do architectural optimizations like `torch.compile` and TensorRT integration
## Code reference
The current baseline configuration is defined in `configs/deep_cfr/default.yaml`:
The historical baseline configuration is defined in `legacy/deep-cfr/configs/default.yaml`:
```yaml
network:
@@ -51,4 +51,4 @@ Avoid premature optimization with `torch.compile` or TensorRT on the current sma
- `docs/archive/deep-cfr-performance-experiments-2026-05-07.md` (Small-model regression data)
- `docs/archive/option-a-bench-result-2026-05-07.md` (Batched traversal benchmarks)
- `docs/performance.md` (Current runtime bottleneck profile)
- `docs/performance.md` (Current runtime bottleneck profile)