BeeMo, a Monte Carlo Simulation Agent for Playing Parameterized Poker Squares.
Karo Castro-WunschWilliam MagaCalin AntonPublished in: AAAI (2016)
Keyphrases
- monte carlo simulation
- monte carlo
- markov chain
- human players
- imperfect information
- opponent modeling
- card game
- multi agent systems
- intelligent agents
- game playing
- multiagent systems
- multi agent
- autonomous agents
- computer poker
- agent model
- mobile agents
- software agents
- general game playing
- game description language
- additive model
- multi player
- agent architecture
- agent systems
- test bed
- multiple agents
- agent technology
- evaluation function
- computer games
- hough transform
- dynamic environments
- incomplete information
- learning algorithm
- board game
- perfect information
- dynamic programming
- search algorithm
- decision making