jgrusewski a6b6f27cdd refactor(ml): Remove default hyperparameters and add canonical configs ...

- Remove Default trait implementations from DQN and PPO trainers
- Add conservative() methods for testing/examples
- Create canonical hyperparameter config files in ml/hyperparams/
- Update all examples and tests to use conservative()

This prevents production failures from incorrect defaults (e.g., Pod
0hczpx9nj1ub88 failure where default LR was 1000x too high for PPO).

Changes:
- ml/src/trainers/dqn.rs: Remove Default, add conservative() + monitoring
- ml/src/trainers/ppo.rs: Remove Default, add conservative() + dual LRs
- ml/hyperparams/ppo_best.toml: Best params from hyperopt Trial #1
- ml/hyperparams/dqn_best.toml: Conservative DQN defaults
- ml/hyperparams/README.md: Usage documentation
- Updated 5 examples to use conservative()
- Updated 7 test files (69 occurrences)

Test Results: 24/24 trainer tests passing (15 DQN + 9 PPO)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

2025-11-02 11:12:14 +01:00

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