jgrusewski 477b9cf1cf docs: GPU PER sum-tree implementation plan (13 tasks) ...

TDD plan covering GpuReplayBuffer, proportional + rank-based GPU
sampling, priority scatter updates, async loss readback, trainer
integration, OOM fallback, and distribution correctness tests.

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

2026-03-02 23:45:27 +01:00

..

infra

feat(infra): GPU training launcher with local/cloud routing

2026-02-23 11:19:58 +01:00

plans

docs: GPU PER sum-tree implementation plan (13 tasks)

2026-03-02 23:45:27 +01:00