Automated Learning of Hierarchical Task Networks for Controlling Minecraft Agents
Published in IEEE Conference on Computational Intelligence and Games (CIG 2017), 2017
Recommended citation: Nguyen, C., Reifsnyder, N., Gopalakrishnan, S., & Muñoz-Avila, H. (2017). Automated Learning of Hierarchical Task Networks for Controlling Minecraft Agents. In IEEE CIG. https://ieeexplore.ieee.org/document/8080447
Abstract
Demonstrates the automated discovery of HTN domain models from player gameplay traces within the Malmo Minecraft platform, enabling non-player autonomous agents to execute complex crafting and construction goals.
Recommended citation: Nguyen, C., Reifsnyder, N., Gopalakrishnan, S., & Muñoz-Avila, H. (2017). Automated Learning of Hierarchical Task Networks for Controlling Minecraft Agents. In IEEE CIG.