Chad Hogg's Publications

Journal Articles

C. Hogg, H. Huñoz-Avila, and U. Kuter. (2016) Learning Hierarchical Task Models from Input Traces. Computational Intelligence 32(1). [pdf]

Book Chapters

C. Hogg, S. Lee-Urban, H. Muñoz-Avila, B. Auslander, and M. Smith. (2011) Game AI for Domination Games. In P. A. Gonzalez Calero (ed.), Artificial Intelligence for Computer Games.

Conference, and Workshop Articles

C. Hogg, U. Kuter, and H. Muñoz-Avila. (2010) Learning Methods to Generate Good Plans: Integrating HTN Learning and Reinforcement Learning. In Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI-10). [pdf]

H. Li, H. Muñoz-Avila, D. Bramsen, C. Hogg, and R. Alonso. (2009) Spatial Event Prediction by Combining Value Function Approximation and Case-Based Reasoning. In Proceedings of the 8th International Conference on Case-Based Reasoning (ICCBR-09). [pdf]

C. Hogg, H. Muñoz-Avila, and U. Kuter. (2009) Learning Hierarchical Task Networks for Nondeterministic Planning Domains. In Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence (IJCAI-09). [pdf] [published version]

H. Zhuo, Q. Yang, D. Hu, C. Hogg, and H. Muñoz-Avila. (2009) Learning HTN Method Preconditions and Action Models from Partial Observations. In Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence (IJCAI-09). [pdf]

C. Hogg, U. Kuter, and H. Muñoz-Avila. (2009) From Plan Traces to Hierarchical Task Networks Using Reinforcements: A Preliminary Report. In Proceedings of the IJCAI-09 Workshop on Learning Structural Knowledge from Observations (StrucK-09). [pdf]

H. Zhuo, D. Hu, Q. Yang, C. Hogg, and H. Muñoz-Avila. (2009) Learning Model Structures in AI Planning from Partial Observations. In Proceedings of the IJCAI-09 Workshop on Learning Structural Knowledge from Observations (StrucK-09). [pdf]

C. Hogg, S. Lee-Urban, B. Auslander, and H. Muñoz-Avila. (2008) Discovering Feature Weights for Feature-Based Indexing of Q-Tables. In Proceedings of the ECCBR-08 Workshop on Uncertainty and Knowledge Discovering in CBR. [pdf]

B. Auslander, S. Lee-Urban, C. Hogg, and H. Muñoz-Avila. (2008) Recognizing the Enemy: Combining Reinforcement Learning with Strategy Selection using Case-Based Reasoning. In Proceedings of the 9th European Conference on Advances in Case-Based Reasoning (ECCBR-08). [pdf]

C. Hogg, H. Muñnoz-Avila, and U. Kuter. (2008) HTN-MAKER: Learning HTNs with Minimal Additional Knowledge Engineering Required. In Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence (AAAI-08). [pdf]

C. Hogg and H. Muñoz-Avila. (2007) Learning Hierarchical Task Networks from Plan Traces. In Proceedings of the ICAPS-07 Workshop on AI Planning and Learning. [pdf]

I. Warfield, C. Hogg, S. Lee-Urban, and H. Muñoz-Avila. (2007) Adaptation of Hierarchical Task Network Plans. In Proceedings of the Twentieth Flairs International Conference (FLAIRS-07). [pdf]

Other

C. Hogg. (2011) Learning Hierarchical Task Networks from Plan Traces and Semantically Annotated Tasks. Ph.D. Dissertation. Department of Computer Science and Engineering, Lehigh University, Bethlehem, PA.

C. Hogg. (2004) Computer-Assisted Composition in the 32-bar Jazz Standard Form Undergraduate Honors Thesis. Department of Mathematics and Computer Science, Ursinus College, Collegeville, PA.