Abstract:
In this work, we develop a game controller called HillClimbingNet (Hill-Climbing Neural Network) for playing Ms. Pac-man that combines the hill-climbing concept and simpl...Show MoreMetadata
Abstract:
In this work, we develop a game controller called HillClimbingNet (Hill-Climbing Neural Network) for playing Ms. Pac-man that combines the hill-climbing concept and simple feedforward neural network. The computational experiments have been conducted to evaluate and compare the proposed algorithm against Random Direction (RandDir) and Random Neural Network (RandNet) systems. According to the simulation results, HillClimbingNet has achieved an average score of 6290, but only 439 and 735 on the RandDir and RandNet, respectively. HillClimbingNet has a very good performance.
Published in: 10th International Conference on Information Science, Signal Processing and their Applications (ISSPA 2010)
Date of Conference: 10-13 May 2010
Date Added to IEEE Xplore: 18 October 2010
ISBN Information:
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