Model-based reinforcement learning (RL) has shown great potential in var...
To operate effectively in the real world, artificial agents must act fro...
In visual planning (VP), an agent learns to plan goal-directed behavior ...
In anomaly detection (AD), one seeks to identify whether a test sample i...
In this paper we tackle the problem of deformable object manipulation th...
Planning for robotic manipulation requires reasoning about the changes a...
In recent years, deep generative models have been shown to 'imagine'
con...
Model-free reinforcement learning (RL) methods are succeeding in a growi...
To accomplish tasks in human-centric indoor environments, robots need to...