RLBench is an ambitious large-scale benchmark and learning environment designed to facilitate research in a number of vision-guided manipulation research areas, including: reinforcement learning, imitation learning, multi-task learning, geometric computer vision, and in particular, few-shot learning.
Benchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
|---|---|---|---|---|---|
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RLBench
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3D Diffuser Actor
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The COLOSSEUM
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PerAct
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RLBench
|
Attention-driven Robotic Manipulation
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Papers
| Paper | Code | Results | Date | Stars |
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Dataset Loaders
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