DMCM learns one context vector per task factor and updates only the relevant vector, improving out-of-distribution robustness in sine regression and quadruped locomotion via context sharing.
Detailed input and hyperparameters are in Table 7, 8
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Disentangled Multi-Context Meta-Learning: Unlocking robust and Generalized Task Learning
DMCM learns one context vector per task factor and updates only the relevant vector, improving out-of-distribution robustness in sine regression and quadruped locomotion via context sharing.