Imagine if we could study the movement of objects in videos by tracking their position and orientation and how different points on the object move. This information will be useful for making inferences about the 3D properties, physical properties, and interactions of various objects. So, what is the most basic step to achieve the above …
Imagine if we could study the movement of objects in videos by tracking their position and orientation and how different points on the object move. This information will be useful for making inferences about the 3D properties, physical properties, and interactions of various objects. So, what is the most basic step to achieve the above …
Scaling has gained importance following recent technological breakthroughs. Large neural networks have been trained in 3D environments using deep reinforcement learning over billions of experience steps, helping to advance the development of embodied intelligent entities capable of accomplish goal-oriented tasks. To ensure networks operate at such a massive scale without hassle, RL systems must scale …
