Sometimes, it might be better to train a robot in an environment that’s different from the one where it will be deployed.
The main idea of the article is that training AI agents in a more controlled, less uncertain environment can lead to better performance in real-world, more uncertain environments.
This contradicts the common practice of simulating the real world as closely as possible during training.
The researchers call this phenomenon the "indoor training effect," comparing it to learning tennis in a calm indoor court versus a windy outdoor court.
The main idea of the article is that training AI agents in a more controlled, less uncertain environment can lead to better performance in real-world, more uncertain environments. This contradicts the common practice of simulating the real world as closely as possible during training. The researchers call this phenomenon the "indoor training effect," comparing it to learning tennis in a calm indoor court versus a windy outdoor court.
