Pepijn fd00e38851 feat(benchmarks): add LIBERO training benchmark pipeline ...

Single-script benchmark that trains and evaluates all 9 LeRobot policies
on LIBERO. Each SLURM job self-publishes its result row to a HuggingFace
leaderboard dataset — no separate collection step needed.

Policies: pi0, pi0_fast, pi05, groot, act, diffusion, smolvla, xvla,
multi_task_dit. 5000 steps, BS 256, with per-policy GPU allocation and
default LR/scheduler presets.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

2026-04-09 17:01:49 +02:00

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libero

feat(benchmarks): add LIBERO training benchmark pipeline

2026-04-09 17:01:49 +02:00

video

chore: remove usernames + use entrypoints in docs, comments & sample commands (#2988)

2026-02-18 22:46:12 +01:00