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.
Variants: RLBench, The COLOSSEUM, GEMBench
This dataset is used in 1 benchmark:
Recent papers with results on this dataset: