In the field of reinforcement learning (RL), representation learning is ...
Radio Access Networks (RANs) for telecommunications represent large
aggl...
We present an algorithm for Inverse Reinforcement Learning (IRL) from ex...
We consider the task of underwater robot navigation for the purpose of
c...
We present a robust multi-robot convoying approach that relies on visual...
As demand drives systems to generalize to various domains and problems, ...