Enhancing AI Performance: Benefits of Mismatched Training Environments in Uncertain Conditions
MIT researchers have uncovered a surprising phenomenon called the indoor training effect, which suggests that training AI agents in less uncertain environments can lead to better performance when they face unpredictable real-world scenarios. Traditionally, engineers strive to match training conditions with actual deployment to ensure success. However, the study, which involved training AI to play ...