CLARU
Gwanwoo2026mit

OGBench: cube-triple-play-100m-v0

Unofficial mirror of the cube-triple-play-100m-v0 dataset from OGBench, a benchmark for offline goal-conditioned reinforcement learning. Contains 100 million steps of simulated robot manipulation data for cube manipulation tasks.

Downloads355

Why This Matters for Physical AI

Provides large-scale offline reinforcement learning data for goal-conditioned manipulation tasks, enabling research into sample-efficient learning algorithms for robotic control without online interaction.

Technical Profile

Environment
simulation
Task Types
manipulationgoal-conditioned
Data Format
npz
License
mit
Part of the OGBench family

Access

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