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Meta-World is an open-source simulated benchmark for meta-reinforcement learning and multi-task learning consisting of 50 distinct robotic manipulation
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jilislot Meta-World Meta-World is an open-source simulated benchmark for meta-reinforcement learning and multi-task learning consisting of 50 distinct robotic meta-RL algorithms can adapt to new object or goal con- figurations on only one type of task ML1 uses single Meta-World Tasks, with the meta-training