This paper presents a novel methodology that uses surrogate models in th...
Giving autonomous agents the ability to forecast their own outcomes and
...
Knowledge of the symmetries of reinforcement learning (RL) systems can b...
Hidden parameters are latent variables in reinforcement learning (RL)
en...
For safe and reliable deployment in the real world, autonomous agents mu...
For autonomous agents to act as trustworthy partners to human users, the...
The deployment of reinforcement learning (RL) in the real world comes wi...
In this work, we introduce pose interpreter networks for 6-DoF object po...
To enable autonomous robotic manipulation in unstructured environments, ...