CLARU
Gwanwoo2026mit

OGBench mirror: cube-double-play-v0

Unofficial mirror of the cube-double-play-v0 dataset from OGBench, a benchmark for offline goal-conditioned reinforcement learning. The dataset contains trajectories of a robotic system performing cube manipulation tasks in simulation.

Downloads73

Why This Matters for Physical AI

OGBench provides a standardized benchmark for evaluating offline goal-conditioned reinforcement learning algorithms, which is essential for developing robotic systems that can learn manipulation skills from pre-collected data without online interaction.

Technical Profile

Environment
simulation
Task Types
manipulation
Data Format
npz
Annotation Types
goal_labels
License
mit
Part of the OGBench family

Access

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