2022
Modular Adaptive Policy Selection for Multi- Task Imitation Learning through Task Division
ICRA 2022poster
Deep imitation learning requires many expert demonstrations, which can be hard to obtain, especially when many tasks are involved. However, different tasks often share similarities, so learning them jointly can greatly benefit them and alleviate the need for many demonstrations. But, joint multi-tas…