SirStone 54b8139b11 feat(SAC_LSTM_Bot): weight persistence module (#46) ...

Save/load all SAC-LSTM tensors (actor, 2 critics, 2 target critics,
alpha, Adam states) into a single .zip of .npy files. Atomic write
via temp path + rename. Adam types (AdamVar, SACAdamStates) defined
here for training.nim to use.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

2026-08-20 23:57:13 +02:00

..

config.nims

feat(SAC_LSTM_Bot): project scaffold (#38)

2026-08-20 23:33:43 +02:00

test_actions.nim

feat(SAC_LSTM_Bot): action mapping module (#43)

2026-08-20 23:38:45 +02:00

test_network.nim

feat(SAC_LSTM_Bot): LSTM network module (#41)

2026-08-20 23:38:17 +02:00

test_replay_buffer.nim

feat(SAC_LSTM_Bot): replay buffer module (#45)

2026-08-20 23:40:17 +02:00

test_rewards.nim

feat(SAC_LSTM_Bot): reward module (#44)

2026-08-20 23:39:45 +02:00

test_state.nim

feat(SAC_LSTM_Bot): state vector module (#42)

2026-08-20 23:37:56 +02:00

test_weights.nim

feat(SAC_LSTM_Bot): weight persistence module (#46)

2026-08-20 23:57:13 +02:00