IMPLEMENTATION OF REINFORCEMENT LEARNING AGENT IN A TURN-BASED STRATEGY GAME

Lack of adaptability has long been recognized as a significant challenge in turn­ based strategy game agents. This is due to the prevalent use of heuristic-based approaches in their decision-making. In this research, an agent trained by Reinforcement Learning is used as a substitute for heuristics i...

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Bibliographic Details
Main Author: Jonathan, Gabriel
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/76874
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Institution: Institut Teknologi Bandung
Language: Indonesia