Nolan Bard
Publications by Year
Research Areas
Artificial Intelligence in Games, Reinforcement Learning in Robotics, Sports Analytics and Performance, Gambling Behavior and Treatments, Digital Games and Media
Most-Cited Works
- → DeepStack: Expert-level artificial intelligence in heads-up no-limit poker(2017)797 cited
- → The Hanabi challenge: A new frontier for AI research(2019)233 cited
- → Finding Optimal Abstract Strategies in Extensive-Form Games(2021)65 cited
- → Efficient Nash equilibrium approximation through Monte Carlo counterfactual regret minimization(2012)49 cited
- → Online implicit agent modelling(2013)41 cited
- → Do pokers players know how good they are? Accuracy of poker skill estimation in online and offline players(2013)27 cited
- Optimal unbiased estimators for evaluating agent performance(2006)
- Strategy Grafting in Extensive Games(2009)
- Particle filtering for dynamic agent modelling in simplified poker(2007)
- → The Annual Computer Poker Competition(2013)16 cited