This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a University of Alberta directory, so their courses may be missing. Find their university profile.
Research
Latest papers
TacticAI: an AI assistant for football tactics.
Nature communications · 2024
Student of Games: A unified learning algorithm for both perfect and imperfect information games.
Science advances · 2023 · senior author
DeepStack: Expert-level artificial intelligence in heads-up no-limit poker.
Science (New York, N.Y.) · 2017 · senior author
Latest funding
- $55,000
Useful Even If Inaccurate: More Effective and Efficient Use of World Models in Reinforcement Learning
NSERC · 2024 · Principal investigator
- $444,000
Human-Scale Decision Making in Uncertain Environments
NSERC · 2018 · Principal investigator
- $210,000
Human-Scale Game Theory in Imperfect Information Settings
NSERC · 2012 · Principal investigator
4 publications.
TacticAI: an AI assistant for football tactics.
Wang Z, Veličković P, Hennes D, Tomašev N, Prince L, Kaisers M, Bachrach Y, Elie R, Wenliang LK, Piccinini F, Spearman W, Graham I, Connor J, Yang Y, Recasens A, Khan M, Beauguerlange N, Sprechmann P, Moreno P, Heess N, Bowling M, Hassabis D, Tuyls K
Student of Games: A unified learning algorithm for both perfect and imperfect information games.
Schmid M, Moravčík M, Burch N, Kadlec R, Davidson J, Waugh K, Bard N, Timbers F, Lanctot M, Holland GZ, Davoodi E, Christianson A, Bowling M
DeepStack: Expert-level artificial intelligence in heads-up no-limit poker.
Moravčík M, Schmid M, Burch N, Lisý V, Morrill D, Bard N, Davis T, Waugh K, Johanson M, Bowling M
Computer science. Heads-up limit hold'em poker is solved.
Bowling M, Burch N, Johanson M, Tammelin O
Useful Even If Inaccurate: More Effective and Efficient Use of World Models in Reinforcement Learning
Principal investigators: Bowling, Michael
Keywords: reinforcement learning; world models; deep learning; representation learning; meta-learning; computational game theory; game playing
Human-Scale Decision Making in Uncertain Environments
Principal investigators: Bowling, Michael
Human-Scale Game Theory in Imperfect Information Settings
Principal investigators: Bowling, Michael
Data-driven statistical agent modelling
Principal investigators: Bowling, Michael
Learning in impromptu multiagent systems
Principal investigators: Bowling, Michael
Intelligent agents for interactive entertainment
Principal investigators: Schaeffer, Jonathan
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.