Levers 3, 4, 1 of the #57 sign-off (execution order 3->4->1), tracked in #59.
- Lever 3 (#59): one JSONL line per trainPass in training_metrics.jsonl with
exactly the scalars sacUpdate already exposes (SACMetrics: critic/actor/alpha
losses + alpha, averaged per pass) plus epoch, buffer size (replay_buffer.len),
cumulative steps and drained count. No trainer change needed.
- Lever 4 (#59): sendTrainingMsg drops all training input while SACLSTM_EVAL_MODE=1
(existing #49 harness mechanism) — eval battles can neither pollute the replay
buffer nor trigger gradient updates; one-time stderr notice at bot init.
- Lever 1 (#59): sac_train.sh evaluates every SAC_EVAL_OPPONENTS entry per cycle
(results carry opponent name in eval_log.jsonl); best-gating now uses a
composite = mean over opponents of the last-5-evals moving average per
opponent. best_score.txt format change: float composite replaces the
single-opponent integer win rate semantics (retired).
- Tests: metricsLine JSONL scalars + eval-mode suppression asserts.
Refs: #59, #57
SirStone
a07e5305f5