Hierarchical reinforcement learning has been a compelling approach for
a...
Multi-agent artificial intelligence research promises a path to develop
...
A key challenge in the study of multiagent cooperation is the need for
i...
TinyML has rose to popularity in an era where data is everywhere. Howeve...
As a mechanism for devices to update a global model without sharing data...
Federated learning has been widely applied to enable decentralized devic...