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Found 10 papers, 2 papers with code
Diversifying AI: Towards Creative Chess with AlphaZero
In particular, we investigate whether a team of diverse AI systems can outperform a single AI in challenging tasks by generating more ideas as a group and then selecting the best ones.
Student of Games: A unified learning algorithm for both perfect and imperfect information games
Games have a long history as benchmarks for progress in artificial intelligence.
Solving Large Extensive-Form Games with Strategy Constraints
Extensive-form games are a common model for multiagent interactions with imperfect information.
Theoretical and Practical Advances on Smoothing for Extensive-Form Games
By introducing a new weighting scheme for the dilated entropy function, we develop the first distance-generating function for the strategy spaces of sequential games that has no dependence on the branching factor of the player.
DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker
Poker is the quintessential game of imperfect information, and a longstanding challenge problem in artificial intelligence.
Solving Games with Functional Regret Estimation
We propose a novel online learning method for minimizing regret in large extensive-form games.
A Unified View of Large-scale Zero-sum Equilibrium Computation
The task of computing approximate Nash equilibria in large zero-sum extensive-form games has received a tremendous amount of attention due mainly to the Annual Computer Poker Competition.
Computational Rationalization: The Inverse Equilibrium Problem
Modeling the purposeful behavior of imperfect agents from a small number of observations is a challenging task.
Monte Carlo Sampling for Regret Minimization in Extensive Games
In the domain of poker, CFR has proven effective, particularly when using a domain-specific augmentation involving chance outcome sampling.
Strategy Grafting in Extensive Games
A common approach for computing strategies in these large games is to first employ an abstraction technique to reduce the original game to an abstract game that is of a manageable size.
