2 papers
cs.LG2023
Improving Generalization in Game Agents with Data Augmentation in Imitation Learning
Derek Yadgaroff, Alessandro Sestini, Konrad Tollmar +2
Imitation learning is an effective approach for training game-playing agents and, consequently, for efficient game production. However, generalization - the ability to perform well…
cs.LG2023
Generating Personas for Games with Multimodal Adversarial Imitation Learning
William Ahlberg, Alessandro Sestini, Konrad Tollmar +1
Reinforcement learning has been widely successful in producing agents capable of playing games at a human level. However, this requires complex reward engineering, and the agent's…