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
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.
Myths: At the symposium, Satinder Singh and John Langford
had the idea of debunking some harmful myths about
- Real-life Reinforcement Learning: The Reality
Series (14M): This movie was shown at the plenary session
of the symposium. It (somewhat) documents the first day of
These are materials from some talks given at the symposium.
These are the papers submitted to the symposium working notes. They
are unedited, so please do not cite!
Contact Michael Littman (firstname.lastname@example.org) to contribute