Adaptation of Hierarchical Task Network Plans. - Ian Warfield; Chad Hogg; Stephen Lee-Urban; Hector Muñoz-Avila (FLAIRS, 2007)

HTN-MAKER: Learning HTNs with Minimal Additional Knowledge Engineering Required. - Chad Hogg; Héctor Muñoz-Avila; Ugur Kuter (AAAI, 2008)

Recognizing the Enemy: Combining Reinforcement Learning with Strategy Selection Using Case-Based Reasoning. - Bryan Auslander; Stephen Lee-Urban; Chad Hogg; Héctor Muñoz-Avila (ECCBR, 2008)

Discovering Feature Weights for Feature-based Indexing of Q-tables. - Chad Hogg; Stephen Lee-Urban; Bryan Auslander; Héctor Muñoz-Avila (ECCBR Workshops, 2008)

Spatial Event Prediction by Combining Value Function Approximation and Case-Based Reasoning. - Hua Li 002; Héctor Muñoz-Avila; Diane Bramsen; Chad Hogg; Rafael Alonso (ICCBR, 2009)

Learning Hierarchical Task Networks for Nondeterministic Planning Domains. - Chad Hogg; Ugur Kuter; Héctor Muñoz-Avila (IJCAI, 2009)

Learning HTN Method Preconditions and Action Models from Partial Observations. - Hankz Hankui Zhuo; Derek Hao Hu; Chad Hogg; Qiang Yang 001; Hector Muñoz-Avila (IJCAI, 2009)

Learning Methods to Generate Good Plans: Integrating HTN Learning and Reinforcement Learning. - Chad Hogg; Ugur Kuter; Hector Muñoz-Avila (AAAI, 2010)

Learning Hierarchical Task Models from Input Traces. - Chad Hogg; Héctor Muñoz-Avila; Ugur Kuter (Comput. Intell., 2016)

Designing Autograders for Novice Programmers. - Chad Hogg; Maria Jump (SIGCSE (2), 2022)

A Case For Reflection In Autograding. - Chad Hogg (ITiCSE (1), 2024)