منابع مشابه
Adaptive companions in FPS games
Non-player characters that act as companions for players are a common feature of modern games. Designing a companion that reacts appropriately to the player’s experience, however, is not a trivial task, and even current, triple-A titles tend to provide companions that are either static in behaviour or evince only superficial connection to player activity. To address this issue we develop an ada...
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Non-player Characters (NPCs) that accompany the player enable a single player to participate in team-based experiences, improving immersion and allowing for more complex gameplay. In this context, an Artificial Intelligence (AI) teammate should make good combat decisions, supporting the player and optimizing combat resolution. Here we investigate the target selection problem, which consists of ...
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Advances in deep reinforcement learning have allowed autonomous agents to perform well on Atari games, often outperforming humans, using only raw pixels to make their decisions. However, most of these games take place in 2D environments that are fully observable to the agent. In this paper, we present Arnold, a completely autonomous agent to play First-Person Shooter Games using only screen pix...
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ژورنال
عنوان ژورنال: International Journal of Computer Games Technology
سال: 2009
ISSN: 1687-7047,1687-7055
DOI: 10.1155/2009/456763