The game results show that a computer player implementing the strategies developed in this paper outperforms players implement- ing Bayesian networks, Q- ...
Information-driven search strategies in the board game of CLUE - PubMed
pubmed.ncbi.nlm.nih.gov › ...
This paper presents an information-driven sensor management problem, referred to as treasure hunt, which is relevant to mobile-sensor applications such as ...
This paper investigates the comparative performance of several information-driven search strategies and decision rules using a canonical target classification ...
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Aug 13, 2021 · You're supposed to use one entire side of the sheet per game and put your opponents' names in each of the columns. That way, you can build a matrix and get ...
Oct 22, 2024 · A Q-Learning Approach to Developing an Automated Neural Computer Player for the Board Game of CLUE (R). Conference Paper. Jul 2008.
A Bayesian network approach is used to develop an automated computer player for CLUEreg, that is tested through an interactive simulation of the game, ...
To win at Clue, make strategic suggestions, take effective notes, and time your final accusation by keeping meticulous records of shown cards and suggestions.
The accusing player checks the validity of the accusation by checking the cards, keeping them concealed from other players. If he has made an incorrect ...
The objective is to classify/infer one or multiple fixed targets or treasures located in an obstacle-populated workspace by planning the path and a sequence of ...
Sep 20, 2020 · You interact with the characters, asking questions and gaining information to help you figure out where to go next. It is an app-driven game.