jgrusewski 8777288880 feat: v_range computed from reward_scale + gamma — config flows HP → DQNConfig → GpuConfig ...

Task 4: Add `reward_scale` field (default 10.0) to DQNHyperparameters with
`computed_v_min()`/`computed_v_max()` methods. Formula:
v_range = (reward_scale / (1 - gamma) * 1.2).clamp(20, 300).
conservative() now computes v_min/v_max = +-240 (was hardcoded +-50).
Hyperopt adapter uses same formula instead of hardcoded max_abs_reward.

Task 5: Verified DQNConfig receives v_min/v_max from DQNHyperparameters
in constructor.rs (lines 285-286). Chain intact.

Task 6: Verified GpuDqnTrainConfig receives v_min/v_max from DQNConfig
in fused_training.rs (lines 169-170). Chain intact.

All Default impls updated: DQNConfig, GpuDqnTrainConfig,
ExperienceCollectorConfig, DqnBacktestConfig — zero hardcoded v_min/v_max.

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

2026-03-25 10:16:26 +01:00

..

evaluation

fix(clippy): resolve all clippy warnings across entire workspace (--all-targets)

2026-03-13 10:18:35 +01:00

agent.rs

refactor: remove 8 always-on use_ booleans — features are mandatory

2026-03-25 09:45:54 +01:00

attention.rs

refactor(ml-dqn): eliminate candle — pure cudarc + GpuTensor/GpuLinear

2026-03-17 23:12:18 +01:00

branching_composition_tests.rs

feat(cuda): add branching_action_select kernel + composition tests

2026-03-10 12:45:09 +01:00

branching.rs

fix(clippy): ml-dqn — 148 errors fixed

2026-03-19 00:49:38 +01:00

checkpoint.rs

refactor(ml): split monolith into 9 sub-crates + delete dead code

2026-03-08 15:17:22 +01:00

circuit_breaker.rs

refactor(ml): extract DQN module into ml-dqn crate (task 6)

2026-03-08 15:16:08 +01:00

count_bonus.rs

feat(dqn): H100 curiosity module, branching config, regime conditioning + clippy clean

2026-03-13 10:30:51 +01:00

curiosity.rs

feat: ExposureLevel 5→9 variants (Short75/Short25/Long25/Long75)

2026-03-23 09:21:58 +01:00

distributional_dueling.rs

fix(clippy): ml-dqn — 148 errors fixed

2026-03-19 00:49:38 +01:00

distributional.rs

fix(clippy): ml-dqn — 148 errors fixed

2026-03-19 00:49:38 +01:00

dqn.rs

feat: v_range computed from reward_scale + gamma — config flows HP → DQNConfig → GpuConfig

2026-03-25 10:16:26 +01:00

dsr_gpu_tests.rs

fix(clippy): resolve all clippy warnings across entire workspace (--all-targets)

2026-03-13 10:18:35 +01:00

dueling.rs

fix(clippy): ml-dqn — 148 errors fixed

2026-03-19 00:49:38 +01:00

ensemble_network.rs

fix(ml-dqn): migrate test code to GPU types — 22 compile errors fixed

2026-03-18 14:12:50 +01:00

entropy_regularization.rs

fix(ml-dqn): resolve final 24 compile errors — ml-dqn builds clean

2026-03-18 08:23:30 +01:00

experience_dataset.rs

fix(clippy): achieve zero warnings across entire workspace

2026-03-10 13:18:57 +01:00

experience.rs

fix(clippy): add doc backticks and const fn across ML crates

2026-03-10 11:51:31 +01:00

gae.rs

fix(clippy): achieve zero warnings across entire workspace

2026-03-10 13:18:57 +01:00

gpu_replay_buffer.rs

feat: complete GPU training pipeline — all features wired, zero CPU hot path

2026-03-24 11:28:36 +01:00

hindsight_replay.rs

fix(clippy): resolve all clippy warnings across entire workspace (--all-targets)

2026-03-13 10:18:35 +01:00

iql.rs

fix(clippy): ml-dqn — 148 errors fixed

2026-03-19 00:49:38 +01:00

lib.rs

fix(ml-dqn): resolve final 24 compile errors — ml-dqn builds clean

2026-03-18 08:23:30 +01:00

logging.rs

fix(clippy): add doc backticks and const fn across ML crates

2026-03-10 11:51:31 +01:00

logit_clipping.rs

refactor(ml-dqn): eliminate candle — pure cudarc + GpuTensor/GpuLinear

2026-03-17 23:12:18 +01:00

multi_asset.rs

fix(clippy): resolve all clippy warnings across entire workspace (--all-targets)

2026-03-13 10:18:35 +01:00

network.rs

feat: comprehensive DQN training pipeline overhaul — 16 bug fixes, MSE warmup, financial metrics

2026-03-24 21:48:38 +01:00

noisy_exploration.rs

fix(clippy): add doc backticks and const fn across ML crates

2026-03-10 11:51:31 +01:00

noisy_layers.rs

fix(clippy): ml-dqn — 148 errors fixed

2026-03-19 00:49:38 +01:00

noisy_sigma_scheduler.rs

fix(clippy): add doc backticks and const fn across ML crates

2026-03-10 11:51:31 +01:00

nstep_buffer.rs

fix(clippy): resolve all clippy warnings across entire workspace (--all-targets)

2026-03-13 10:18:35 +01:00

nstep_gpu_tests.rs

fix(clippy): resolve all clippy warnings across entire workspace (--all-targets)

2026-03-13 10:18:35 +01:00

performance_tests.rs

refactor(ml-dqn): eliminate candle — pure cudarc + GpuTensor/GpuLinear

2026-03-17 23:12:18 +01:00

performance_validation.rs

fix(clippy): add doc backticks and const fn across ML crates

2026-03-10 11:51:31 +01:00

prioritized_replay_staleness.rs

fix(clippy): add doc backticks and const fn across ML crates

2026-03-10 11:51:31 +01:00

prioritized_replay.rs

fix(clippy): resolve all clippy warnings across entire workspace (--all-targets)

2026-03-13 10:18:35 +01:00

quantile_regression.rs

feat: comprehensive DQN training pipeline overhaul — 16 bug fixes, MSE warmup, financial metrics

2026-03-24 21:48:38 +01:00

rainbow_agent.rs

fix(clippy): ml-dqn — 148 errors fixed

2026-03-19 00:49:38 +01:00

rainbow_config.rs

refactor(cuda): eliminate all CPU fallbacks — CUDA mandatory across ML stack

2026-03-16 21:01:28 +01:00

rainbow_integration.rs

refactor(cuda): eliminate all CPU fallbacks — CUDA mandatory across ML stack

2026-03-16 21:01:28 +01:00

rainbow_network.rs

fix(clippy): ml-dqn — 148 errors fixed

2026-03-19 00:49:38 +01:00

regime_conditional.rs

refactor: remove 8 always-on use_ booleans — features are mandatory

2026-03-25 09:45:54 +01:00

replay_buffer_kernels.cu

refactor(ml-dqn): is_weights_f32 kernel reads total_sum from GPU pointer

2026-03-21 10:37:52 +01:00

replay_buffer_type.rs

feat: complete GPU training pipeline — all features wired, zero CPU hot path

2026-03-24 11:28:36 +01:00

replay_buffer.rs

fix(clippy): resolve all clippy warnings across entire workspace (--all-targets)

2026-03-13 10:18:35 +01:00

residual.rs

fix(clippy): ml-dqn — 148 errors fixed

2026-03-19 00:49:38 +01:00

reward.rs

refactor: remove dead CPU reward code — RewardNormalizer, use_dsr toggle, hold_reward

2026-03-22 21:27:00 +01:00

rmsnorm.rs

fix(clippy): ml-dqn — 148 errors fixed

2026-03-19 00:49:38 +01:00

seg_tree_kernel.cu

perf: GPU segment tree for O(log n) PER sampling — replaces O(n) prefix sum

2026-03-22 00:52:37 +01:00

softmax.rs

refactor(ml-dqn): eliminate candle — pure cudarc + GpuTensor/GpuLinear

2026-03-17 23:12:18 +01:00

target_update.rs

fix(clippy): ml-dqn — 148 errors fixed

2026-03-19 00:49:38 +01:00

trade_executor.rs

fix(clippy): resolve all clippy warnings across entire workspace (--all-targets)

2026-03-13 10:18:35 +01:00