MIT researchers develop an efficient way to train more reliable AI …

Reinforcement learning models, which underlie these AI decision-making systems, still often fail when faced with even small variations in the tasks they are trained to perform. In the case of traffic, a model might struggle to control a set of intersections with different speed limits, numbers of lanes, or traffic patterns.

https://news.mit.edu/2024/mit-researchers-develop-efficiency-training-more-reliable-ai-agents-1122