Overnight Training Campaign — SAC_LSTM_Bot #53
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Destination
SAC_LSTM_Bot runs a supervised-automation training campaign at its own pace, continuing until the evidence supports a verdict. Deliverables unchanged: real checkpoints saved, a win-rate table vs the opponent pool + mirror twin, a markdown notebook narrating the story as it happens, every milestone decision recorded as its own Gitea issue, and a verdict on whether the RL approach scales. The human reads the story as it unfolds and decides continuation from it.
Notes
SAC_LSTM_Bot/sac_train.sh(chunked Tank Royale battles, embedded server,tools/training_runner/RunTraining.java). Repo/home/davide/Projects/SirRoboGarage, branchresearch/goto-controller. Spec chain #37–#49 complete; vendored botapi v1.0.1 (name-based opponent ID viagetBotName).PPO_Bot/(paused project) except itsCURRICULUM_STATE.mddifficulty-ladder data (easy: Fire/Target/Crazy/MyFirst*; medium: Corners/PaintingBot; hard: RamFire/SpinBot/Walls/TrackFire; boss: VelocityBot).SirStoneBEFORE working it; blocking =*Blocked by: #N*line in ticket body (closed blocker = unblocked); frontier = open, unblocked, unclaimed children.Decisions so far
2653671); notebook at SAC_LSTM_Bot/docs/campaign_notebook.md.Not yet specified
Out of scope