Michael Bowling
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Artificial Intelligence in Games, Advanced Bandit Algorithms Research, Sports Analytics and Performance, Game Theory and Applications
Most-Cited Works
- → DeepStack: Expert-level artificial intelligence in heads-up no-limit poker(2017)797 cited
- → Multiagent learning using a variable learning rate(2002)784 cited
- → Regret Minimization in Games with Incomplete Information(2007)497 cited
- → Heads-up limit hold’em poker is solved(2015)342 cited
- Rational and convergent learning in stochastic games(2001)
- Automatic gait optimization with Gaussian process regression(2007)
- → The Hanabi challenge: A new frontier for AI research(2019)233 cited
- → Convergence and No-Regret in Multiagent Learning(2004)214 cited
- → Apprenticeship learning using linear programming(2008)193 cited
- → The Arcade Learning Environment: An Evaluation Platform for General Agents(2012)193 cited