RLAI Reinforcement Learning and Artificial Intelligence (RLAI)
Reinforcement Learning and Artificial Intelligence

edited by Rich Sutton

The ambition of this page is to provide top-level links into research, worldwide, at the intersection of reinforcement learning and artificial intelligence. You are encouraged to add links to your own relevant research.



RLAI research is research directed toward the long-standing goals of AI (understanding the mind, reproducing human abilities) and is based on reinforcement learning ideas (learning from and while interacting with the world). RLAI research does not include all that is currently thought of as AI research, only that which addresses problems or issues that people regularly encounter in their everyday lives. Similarly, RLAI research does not include research that uses RL methods to solve problems that people do not face and excel at. There is a delimited and fruitful area of research at the confluence of the most ambitious goals of AI and the solution ideas that are arising from RL research.

What is reinforcement learning?