The third major pathway to achieving computational expansion during the reasoning phase is the actual adoption of some search technique during the reasoning process.This means that reasoning is no ...

Inspired by the success of the Monte Carlo tree search (MCTS) in a variety of games and stochastic multiperiod planning problems, we introduce this algorithm as a method for replication in the ...

The relation between the Monte Carlo EM (MCEM) algorithm and the data augmentation algorithm is noted. Two modifications to the MCEM algorithm (the poor man's data augmentation algorithms), which ...

At the heart of TreeQuest is an algorithm called Adaptive Branching Monte Carlo Tree Search (AB-MCTS) which is an evolution of the decision-making strategy originally made famous by DeepMind’s ...

We describe statistical inference of neighbor-dependent models using a Markov chain Monte Carlo expectation maximization (MCMC-EM) algorithm. In the MCMC-EM algorithm, the high-dimensional integrals ...