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Deterministic Equations for Stochastic Spatial Evolutionary Games
Coarse-grained dynamics monte carlo simulation grid the stochastic dynamics systematic lattice spin flip dynamics
2014/12/24
In this paper we investigate the approximation properties of the coarse-graining procedure applied to kinetic Monte Carlo simulations of lattice stochastic dynamics. We provide both analytical and num...
Deterministic Equations for Stochastic Spatial Evolutionary Games
Coarse-grained dynamics monte carlo simulation grid the stochastic dynamics systematic lattice spin flip dynamics
2014/12/24
In this paper we investigate the approximation properties of the coarse-graining procedure applied to kinetic Monte Carlo simulations of lattice stochastic dynamics. We provide both analytical and num...
Test MaxEnt in Social Strategy Transitions with Experimental Two-Person Constant Sum 2$\times$2 Games
maximum entropy principle social strategy transitions constant sum game experimental eco-nomics
2012/9/18
Using laboratory experimental data, we test the uncertainty of social state transitions in various competing environments of fixed paired two-person constantsum 2×2 games. It firstly shows that,the di...
Robust approachability and regret minimization in games with partial monitoring
Robust approachability regret games partial monitoring
2011/6/20
Approachability has become a standard tool in analyzing learning algorithms in the adversarial
online learning setup. We develop a variant of approachability for games where there is ambiguity
in th...
Minimax Policies for Combinatorial Prediction Games
Minimax Policies Combinatorial Prediction Games
2011/6/20
We address the online linear optimization problem when the actions of the forecaster are represented by
binary vectors. Our goal is to understand the magnitude of the minimax regret for the worst pos...
Toward a Classification of Finite Partial-Monitoring Games
Online algorithms Online learning Imperfect feedback Regret analysis
2011/3/25
Partial-monitoring games constitute a mathematical framework for sequential decision making problems with imperfect feedback: The learner repeatedly chooses an action, opponent responds with an outcom...
On zero - sum stochastic games with general state space. I
zero - sum stochastic games general state space
2009/9/24
On zero - sum stochastic games with general state space. I。
Stopping games for symmetric Markov processes。
On zero-sum stochastic games with general state space. II
zero-sum stochastic games general state space
2009/9/24
On zero-sum stochastic games with general state space. II。