Towards autonomous behavior learning of non-player characters in games

• Main Authors: FENG, Shu, TAN, Ah-hwee
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2016
• Subjects: behavior learning; reinforcement learning; imitative learning; self-organizing neural network; intelligent agent; Databases and Information Systems; OS and Networks; Systems Architecture
• Online Access: https://ink.library.smu.edu.sg/sis_research/5247; https://ink.library.smu.edu.sg/context/sis_research/article/6250/viewcontent/Towards_Autonomous_Behavior_Learning___ESwA_2016_Preprint.pdf
• Institution: Singapore Management University

Non-Player-Characters (NPCs), as found in computer games, can be modelled as intelligent systems, which serve to improve the interactivity and playability of the games. Although reinforcement learning (RL) has been a promising approach to creating the behavior models of non-player characters (NPC),...