jgrusewski e97c30b50a perf: cap hyperopt hidden_dim=256, num_atoms=51 — 4x faster trials ...

Production defaults are sufficient for hyperopt exploration. Larger networks
can be tested in a separate phase with the best hyperparams found.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

2026-03-22 10:00:26 +01:00

..

dqn-hyperopt.toml

perf: cap hyperopt hidden_dim=256, num_atoms=51 — 4x faster trials

2026-03-22 10:00:26 +01:00

dqn-production.toml

feat: TOML training profile system — config-driven hyperparameters

2026-03-21 23:35:41 +01:00

dqn-smoketest.toml

feat: TOML training profile system — config-driven hyperparameters

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ppo-production.toml

feat: TOML training profile system — config-driven hyperparameters

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ppo-smoketest.toml

feat: TOML training profile system — config-driven hyperparameters

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supervised-production.toml

feat: TOML training profile system — config-driven hyperparameters

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supervised-smoketest.toml

feat: TOML training profile system — config-driven hyperparameters

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walk-forward.toml

feat: TOML training profile system — config-driven hyperparameters

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