Independent publisher
Anh Dao
anhdao69
Compare the published evidence
This profile connects the 6 model and dataset records shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.
Published tasks: Robotics.
Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.
Models
Completed two-epoch joint R2R + English-guide RxR 15-degree training run. epoch-1 contains update 3,852; epoch-2 contains the final update 7,704. Epoch 1 is a mid-schedule snapshot; epoch 2 completes the planned schedule. No navigation evaluation result is claimed for these weights. Original Qwen3.5-4B base revision 851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a. https://github.com/anhdao69/SimpleMemVLN/tree/streamingtextdual. 30,815 episodes; 3,128,624 action steps per dataset pass before distributed tail padding. Two epochs, 7,704 updates; 232 warmup updates; seed 429. Four H100 GPUs, one complete episode per rank per microstep, gradient accumulation 2, effective global batch 8. BF16, ZeRO-2…
Training campaign launched 2026-10-10. Training is ongoing; no completed RT results are claimed. - All seven runs are independent, with no dependencies or evaluation waits, per the user's later instruction. - These two phase-2 launches also override their evaluation wait at the user's request; no Gate 1 result is claimed. - Remaining 13 executable recipes retain their gates. R-FM remains undefined and deferred. - All seven runs now use standalone batch jobs. Interactive allocation 4857 was canceled after saving RT-A2 at update 58. There is no additional backup job. Every run uses global batch 128, all 277,713 windows from 1,712 available LIBERO demonstrations, and ten epochs (21,700…
Private artifacts of the SimpleMemVLN episodic-memory campaign (plans/episodicmem.md, branch c2episodic on GitHub). code/c2episodic406b08f.bundle: git bundle of branch c2episodic (git clone c2episodic406b08f.bundle -b c2episodic). Training source commit e28bd01f10612851cf9ef303fbddbd43c2cae58a. / /export-e1: epoch-1 serving export; / /checkpoint-3852: complete training state for exact same-profile epoch-2 resume; / /campaign: logs and manifests. Epoch 1 is a mid-schedule snapshot of a two-epoch (7,704-update) schedule. No navigation result is implied by any file here.
Completed one joint R2R + RxR epoch, 3,852 optimizer updates, seed429, from Qwen3.5-4B base revision851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a. 30,815 episodes; effective batch8 (4H100 x1episode xGAS2), full episodes/fullBPTT. Actual one-epoch cosine schedule,116LRwarmup steps; auxiliary ramp771updates. G1/epoch-1/ is the inference export: native Window8 text policy with canonical action-text history, without a dual lane or episodic bank. Frozen online FP32 VGGT-Omega supervises sampled visual tokens during training only. The student projector follows SpatialForcing's affineLayerNorm2560 -> Linear4096 -> GELU -> Linear2048 architecture. No feature pre-extraction or PCA is used. All retained…