NVIDIA just released a new RL framework.Your entire setup is one Python file:- write a class with a step() function- return a reward from it- the framework handles the rest, up to 1T-class MoE trainingIn a typical RL framework, the environment and reward logic live inside the trainer's codebase.Adding a new task requires writing framework code, registering it, and wiring up config for it.The reward usually comes from a separately trained reward model, which needs its own GPUs and placement next to the actor ...