A Markov chain is a system consisting of finitely many states and a set of probabilities that dictate the likelihood of moving from any given state to a different state in a fixed time period. The long-term behavior of movement between states in such a system can be modeled using matrices. In the game of Chutes and Ladders, the player moves between positions on the board based on the roll of dice. We use Markov Chains to analyze the game, and then develop other versions of the game that are interesting from that standpoint of probability
In this study extending classical Markov chain theory to handle fluctuating transition matrices, the...
In the paper it is demonstrated, how a dynamic programming approach may be useful for the analysis o...
This paper formulates some notions and results about discrete-time Markov chains in terms of game-th...
Markov chains1 and Markov decision processes (MDPs) are special cases of stochastic games. Markov ch...
Introduction Discrete-time Markov processes, or Markov chains, are a powerful tool for modeling and...
In this paper I will first describe the theoretical background of a certain kind of random process, ...
In this paper I will first describe the theoretical background of a certain kind of random process, ...
A Markov chain with a finite number of states is a probabilistic experiment where, if Xt is the outc...
Markovske verige so matematični model za naključno prehajanje med različnimi možnimi stanji z vnapre...
The board game Chutes and Ladders dates back to ancient India, but was popularized in the United Sta...
Abstract. A new martingale technique is developed to find formulas for the first two moments and gen...
The board game Chutes and Ladders dates back to ancient India, but was popularized in the United Sta...
Notes on nine lectures delivered at Sandin Corporation in August 1957 are given. Part one contains t...
In the paper it is demonstrated, how a dynamic programming approach may be useful for the analysis o...
Roulette is a popular casino game. Parallel to card counting in Blackjack tables, most Roulette play...
In this study extending classical Markov chain theory to handle fluctuating transition matrices, the...
In the paper it is demonstrated, how a dynamic programming approach may be useful for the analysis o...
This paper formulates some notions and results about discrete-time Markov chains in terms of game-th...
Markov chains1 and Markov decision processes (MDPs) are special cases of stochastic games. Markov ch...
Introduction Discrete-time Markov processes, or Markov chains, are a powerful tool for modeling and...
In this paper I will first describe the theoretical background of a certain kind of random process, ...
In this paper I will first describe the theoretical background of a certain kind of random process, ...
A Markov chain with a finite number of states is a probabilistic experiment where, if Xt is the outc...
Markovske verige so matematični model za naključno prehajanje med različnimi možnimi stanji z vnapre...
The board game Chutes and Ladders dates back to ancient India, but was popularized in the United Sta...
Abstract. A new martingale technique is developed to find formulas for the first two moments and gen...
The board game Chutes and Ladders dates back to ancient India, but was popularized in the United Sta...
Notes on nine lectures delivered at Sandin Corporation in August 1957 are given. Part one contains t...
In the paper it is demonstrated, how a dynamic programming approach may be useful for the analysis o...
Roulette is a popular casino game. Parallel to card counting in Blackjack tables, most Roulette play...
In this study extending classical Markov chain theory to handle fluctuating transition matrices, the...
In the paper it is demonstrated, how a dynamic programming approach may be useful for the analysis o...
This paper formulates some notions and results about discrete-time Markov chains in terms of game-th...