Welcome to the IRL Lab

The Intelligent Robot Learning Laboratory (IRL Lab) was started in 2013 at Washington State University and moved to the University of Alberta in 2020. We focus on fundamental reinforcement learning research and applying artificial intelligence to real-world settings in both simulated and physical environments.


August 28, 2020

We are happy to annonce that NSERC has funded out Alliance proposal entitled “Human-AI interactions in real-world complex uncertain environments using a comprehensive reinforcement learning framework!”. This work is in collaboration with Matthew Guzdial, AI Redefined, Thales Canada, and JACOBB.

May 12, 2020

CFAIR will fund an exploratory grant using RL in small-molecule drug discovery. IRLL will be working with Sarath Chandar (Polytechnique Montréal) to further develop 99AndBeyond’s research. You can read more in their accepted ICML-20 paper. Grant announcement

May 07, 2020

Sriram and Matt recently gave a virtual talk for Aggregate Intellect on their AAMAS-20 paper in mean field reinforcement learning. This talk targets professionals interested in using RL in the real world. Video, Paper

April 09, 2020

Matt gave a speculative talk at the RLAI group meeting on why it may be hard for companies to deploy RL in practice, and what we could do in order to encourage better adoption. Video

April 01, 2020

We’re thrilled to announce the opening of the Intelligent Robot Learning Lab (IRL Lab) at the University of Alberta!