Improving Temporal Difference game agent control using a dynamic exploration during control learning

Abstract

This paper investigates the use of a dynamically generated exploration rate when using a reinforcement learning-based game agent controller within a dynamic digital game environment. Temporal Difference learning has been employed for the real-time gereration of reactive game agent behaviors within a variation of classic arcade game Pac-Man. Due to the… (More)
DOI: 10.1109/CIG.2009.5286497

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