Real-Life Reinforcement Learning

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.

This web page is intended to be a hub pointing to various kinds of activity on the topic of RL RL.

Cool Links

Submitted Talks

These are materials from some talks given at the symposium.

Submitted Papers

These are the papers submitted to the symposium working notes. They are unedited, so please do not cite!

Lab Links

Contact Michael Littman ( to contribute material. Thanks!