文章名稱引用次數

• Procedural Content Generation via Machine Learning (PCGML)12
• Learning to Navigate Through Complex Dynamic Environment With Modular Deep Reinforcement Learning9
• An Enhanced Particle Swarm Optimization Method Integrated With Evolutionary Game Theory9
• Automated Playtesting With Procedural Personas Through MCTS With Evolved Heuristics6
• Compressing Chinese Dark Chess Endgame Databases by Deep Learning5
• Playtime Measurement With Survival Analysis5
• General Video Game AI: A Multitrack Framework for Evaluating Agents, Games, and Content Generation Algorithms4
• Multiagent Inverse Reinforcement Learning for Two-Person Zero-Sum Games3
• Learning Constructive Primitives for Real-Time Dynamic Difficulty Adjustment in Super Mario Bros3
• Game Data Mining Competition on Churn Prediction and Survival Analysis Using Commercial Game Log Data3