4 papers · 1 filter
Playstyle and Artificial Intelligence: An Initial Blueprint Through the Lens of Video Games
Chiu-Chou Lin
Contemporary artificial intelligence (AI) development largely centers on rational decision-making, valued for its measurability and suitability for objective evaluation. Yet in rea…
Identifying and Clustering Counter Relationships of Team Compositions in PvP Games for Efficient Balance Analysis
Chiu-Chou Lin, Yu-Wei Shih, Kuei-Ting Kuo +4
How can balance be quantified in game settings? This question is crucial for game designers, especially in player-versus-player (PvP) games, where analyzing the strength relations…
Perceptual Similarity for Measuring Decision-Making Style and Policy Diversity in Games
Chiu-Chou Lin, Wei-Chen Chiu, I-Chen Wu
Defining and measuring decision-making styles, also known as playstyles, is crucial in gaming, where these styles reflect a broad spectrum of individuality and diversity. However,…
Towards Human-Like RL: Taming Non-Naturalistic Behavior in Deep RL via Adaptive Behavioral Costs in 3D Games
Kuo-Hao Ho, Ping-Chun Hsieh, Chiu-Chou Lin +3
In this paper, we propose a new approach called Adaptive Behavioral Costs in Reinforcement Learning (ABC-RL) for training a human-like agent with competitive strength. While deep r…