In robot learning we face challenge of data-efficient learning. In this talk, we will make the case for three types of useful models …
Optimal control has seen many success stories over the past decades. However, when it comes to autonomous systems in open-ended …
In many practical applications of machine learning, we face the challenge of data-efficient learning, i.e., learning from scarce data. …
In many high-impact areas of machine learning, we face the challenge of data-efficient learning, i.e., learning from scarce data. This …
On our path toward fully autonomous systems, i.e., systems that operate in the real world without significant human intervention, …
The vision of intelligent and fully autonomous robots, which are part of our daily lives and automatically learn from mistakes and …
Reinforcement learning (RL) is a mathematical framework for learning from trial and error, which makes it an appealing framework for …