Alexander Zap

Multi-Task Learning for Heterogeneous Prediction from Video Game State with Transfer Learning

Jonas Peché, Aliaksei Tsishurou, Alexander Zap, Günter Wallner

Multi-task learning (MTL) is a promising approach for prediction tasks derived from video game state data, as modern game telemetry provides multiple related supervision signals from the same structured observations. We study whether a shared model trained jointly across tasks in…Read more