Real-life reinforcement learning is the topic of building computer systems that learn to improve a measure of performance on a task by interacting with the real world. It was the topic of a 2004 AAAI Fall Symposium in Washington DC and describes work being
carried out all over the world.
Autonomous Learning Laboratory: University of Massachusetts
Reinforcement Learning and AI: University of Alberta
Reinforcement Learning at the University of Michigan: University of Michigan
Rutgers Laboratory for Real-Life Reinforcement Learning (RL3): Rutgers University