Approximating Nash Equilibria for Uruguayan Truco: A Comparison of Monte Carlo and Machine Learning Approaches.
Juan Pablo FilevichHéctor CancelaPublished in: CLEI (2023)
Keyphrases
- monte carlo
- machine learning approaches
- nash equilibria
- stochastic games
- incomplete information
- markov chain
- game theory
- monte carlo simulation
- importance sampling
- machine learning methods
- machine learning
- nash equilibrium
- machine learning algorithms
- monte carlo methods
- fictitious play
- pure strategy
- adaptive sampling
- data mining methods
- game theoretic
- particle filter
- matrix inversion
- markovian decision
- monte carlo tree search
- game tree
- temporal difference
- point processes
- variance reduction
- search space
- learning algorithm