"meta-world benchmark" Papers

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FuRL: Visual-Language Models as Fuzzy Rewards for Reinforcement Learning

Yuwei Fu, Haichao Zhang, di wu et al.

ICML 2024arXiv:2406.00645
26
citations

Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing

Jinmin He, Kai Li, Yifan Zang et al.

AAAI 2024paperarXiv:2312.14472
11
citations