2013/11/1 Rémi Coulom <[email protected]> > > In MCMC the distribution is given to you with some kind of mathematical > definition, and the challenge is to create a Markov Chain that approximates > the distribution well. >
In MCTS what we really want is a good playout policy and we sample (do playouts) from a given a position with that policy to estimate its value (or expectation). In the context of MCMC seems it is to evaluate a position by doing playouts from another position (and the playouts form a Markov Chain). Aja
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