
End-to-end Learning for Multi-Embodiement Locomotion
The rapid development of robotics has enabled legged robots capable of performing highly dynamic tasks such as walking ...
The rapid development of robotics has enabled legged robots capable of performing highly dynamic tasks such as walking ...
Robotics platforms can massively benefit from novel Deep Reinforcement Learning approaches. However, robotics have ...
Deep Learning is the major component of the success of most new Artificial Intelligence applications. A new promising ...
Deep Reinforcement Learning can solve difficult high dimensional tasks, by exploiting the expressive representation ...
In robotic applications such as autonomous driving and whole-body control, ensuring safety is of utmost importance ...
Robotics platforms can massively benefit from novel Deep Reinforcement Learning approaches. However, robotics have ...
Deep Learning is the major component of the success of most new Artificial Intelligence applications. A new promising ...
Deep Reinforcement Learning can solve difficult high dimensional tasks, by exploiting the expressive representation ...