In imitation learning (IL) an agent learns optimal policy from expert demonstrations. Among the classical approaches used for solving IL there are behavioral cloning that learns a policy via a...
The state-of-the-art algorithms for Kalman filtering in agent networks with information diffusion mostly assume that both the process and measurement noise covariance matrices are known. In the...