Route planning is essential to mobile robot navigation problems. In rece...
The reward hypothesis posits that, "all of what we mean by goals and pur...
Model-based Reinforcement Learning (MBRL) holds promise for data-efficie...
The performance of a reinforcement learning (RL) system depends on the
c...
The ability to infer map variables and estimate pose is crucial to the
o...
We consider an autonomous exploration problem in which a range-sensing m...
We propose a novel approach to handling the ambiguity in elevation angle...
Model-free deep reinforcement learning algorithms are troubled with poor...
We describe a new approach for mitigating risk in the Reinforcement Lear...