Guiding Monte Carlo Tree Search simulations through Bayesian Opponent Modeling in The Octagon Theory

Bibliographic Details
Main Author: Hugo Fernandes
Language:English
Published: 2014
Online Access:http://hdl.handle.net/10216/74184
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spelling ndltd-up.pt-oai-repositorio-aberto.up.pt-10216-741842014-10-26T04:57:35ZGuiding Monte Carlo Tree Search simulations through Bayesian Opponent Modeling in The Octagon TheoryHugo Fernandes2014-10-25T17:30:30Z2014-10-25T17:30:30Z2013Dissertação45917http://hdl.handle.net/10216/74184engopen access
collection NDLTD
language English
sources NDLTD
author Hugo Fernandes
spellingShingle Hugo Fernandes
Guiding Monte Carlo Tree Search simulations through Bayesian Opponent Modeling in The Octagon Theory
author_facet Hugo Fernandes
author_sort Hugo Fernandes
title Guiding Monte Carlo Tree Search simulations through Bayesian Opponent Modeling in The Octagon Theory
title_short Guiding Monte Carlo Tree Search simulations through Bayesian Opponent Modeling in The Octagon Theory
title_full Guiding Monte Carlo Tree Search simulations through Bayesian Opponent Modeling in The Octagon Theory
title_fullStr Guiding Monte Carlo Tree Search simulations through Bayesian Opponent Modeling in The Octagon Theory
title_full_unstemmed Guiding Monte Carlo Tree Search simulations through Bayesian Opponent Modeling in The Octagon Theory
title_sort guiding monte carlo tree search simulations through bayesian opponent modeling in the octagon theory
publishDate 2014
url http://hdl.handle.net/10216/74184
work_keys_str_mv AT hugofernandes guidingmontecarlotreesearchsimulationsthroughbayesianopponentmodelingintheoctagontheory
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