Nvidia can precisely control computer characters using only language

To control the behavior of physics-based characters through language, Nvidia's PADL combines a language model with reinforcement learning. One thing that comes to mind when remembering the start of this wave of AI is certainly the strangely moving 3D figures from Deepmind and other research institutions. These three-legged spiders or humanoid 3D puppets had learned their movements through reinforcement learning. There are now numerous approaches to making digital animals or human-like figures learn movements on their own. The goal of these methods is to develop AI systems that can generate natural-looking movements for a variety of simulated figures and thus complement or replace manual animation and motion capture processes in the long term.