feat: comprehensive TOML profiles + config consistency test
Task 7: Update all three DQN TOML profiles with every configurable parameter.
- dqn-smoketest: add [distributional], [advanced], [exploration] (noisy_sigma,
entropy_coefficient, count_bonus), [risk] (max_position, loss_aversion),
fix learning_rate 0.0003 -> 0.00003, add reward_scale + gamma
- dqn-production: add reward_scale, exploration params (noisy/entropy/count_bonus),
advanced params (n_steps/tau/c51_warmup/her/iqn_lambda/spectral_norm),
remove hardcoded v_min/v_max (now computed), remove duplicate tau from [training]
- dqn-hyperopt: add search space bounds for spectral_norm_sigma_max,
c51_warmup_epochs, her_ratio
Profile system additions (training_profile.rs):
- TrainingSection: add reward_scale (recomputes v_min/v_max on apply)
- ExplorationSection: add noisy_sigma_init, entropy_coefficient,
count_bonus_coefficient, q_gap_threshold
- AdvancedSection: add n_steps, tau, c51_warmup_epochs, her_ratio,
iqn_lambda, spectral_norm_sigma_max, gradient_clip_norm
- RiskSection: add max_position (alias for max_position_absolute), loss_aversion
- RewardSection: add reward_scale
- SearchSpaceSection: add spectral_norm_sigma_max, c51_warmup_epochs, her_ratio
- apply_to: gamma change now recomputes v_min/v_max automatically
Task 8: Config consistency integration tests (5 tests):
- test_config_consistency_across_structs: v_range computed not hardcoded,
fill simulation bounds, q_clip symmetry
- test_toml_profile_applies_all_fields: smoketest profile applies every
new section field correctly
- test_production_profile_applies_all_sections: production profile end-to-end
- test_hyperopt_search_space_has_new_bounds: new search space fields parse
- test_reward_scale_recomputes_v_range: gamma override triggers v_range recomputation
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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