State of the art reinforcement learning has enabled training agents on t...
We present a general-purpose framework for image modelling and vision ta...
One of the key promises of model-based reinforcement learning is the abi...
Many reinforcement learning (RL) agents require a large amount of experi...
In recent years, the task of video prediction-forecasting future video g...
Self-supervised learning has emerged as a strategy to reduce the relianc...
In a given scene, humans can often easily predict a set of immediate fut...
Given a scene, what is going to move, and in what direction will it move...