Hybrid Genetic Programming and Q-Learning for Behavior Tree Evolution inMicroRTS Tactical Scenarios
Applied to plain-terrain MicroRTS micromanagement challenge, this work integrates tabular Q-learning within the BT controller to gate actions at terminal nodes based on learned action-values, and collects additional rewards at each tick of the game that are used to augment the final fitness signal.