Multitask learning in deep neural networks is an approach in which a single model is trained to perform multiple related tasks concurrently, exploiting commonalities and differences across tasks to ...

The dynamic motion primitive-based (DMP) method is effective for learning from demonstrations. However, most current DMP-based methods focus on learning one task with one module. Although, some deep ...