The matched no-TTT control of the TTT run. It uses the same data, history-9 pair streams, losses, learning rates and number of updates, and trains the same VAE/action projections on the frozen backbone, without a TTT memory (tttenabled = false, pairchunkframes = 16). Recipe: wmttt/train/recipeformal2pairsb7nottthistory98gpuq4.toml. MAST run formal2pairsb7nottthistory98gpuq4droid2cam (SyncWorld-dev wmttt, 2026-10-10/11). is fresh and LR warms up over 100 updates, so the step counter restarts at 0. The backbone stays frozen. the demonstration and the other the query. Both third-person cameras: each pair becomes two setups, one per camera, so every stream picks a camera 50/50, and its…
Independent publisher
Yuncong Yang
yyuncong
Models in Library2
Datasets in Library0
Models on Hugging Face6
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Published tasks: Robotics.
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Models
exp-b7 with a test-time-training (TTT) memory in every layer (2 heads x 512, channeltanh gate). Only the TTT memory and the VAE/action input-output projections are trained. Recipe: wmttt/train/recipeformal2pairsb7ttthistory98gpuq4ttt10x.toml. MAST run formal2pairsb7ttthistory98gpuq4ttt10xdroid2cam (SyncWorld-dev wmttt, 2026-10-10/11). is fresh and LR warms up over 100 updates, so the step counter restarts at 0. The backbone stays frozen. the demonstration and the other the query. Both third-person cameras: each pair becomes two setups, one per camera, so every stream picks a camera 50/50, and its demonstration and query always use the same camera. Three components, mixed 1:1:1: - robocasa…