We introduce a simple but effective method for managing risk in model-ba...
Experimentation on real robots is demanding in terms of time and costs. ...
Learning policies from previously recorded data is a promising direction...
Reinforcement learning algorithms commonly seek to optimize policies for...
Learning diverse skills is one of the main challenges in robotics. To th...
Learning agile skills is one of the main challenges in robotics. To this...
It has been a long-standing dream to design artificial agents that explo...
Trajectory optimizers for model-based reinforcement learning, such as th...
We present a novel intrinsically motivated agent that learns how to cont...