Chad Hogg

11 papers A* 4C 1Misc 1Journal 1Unranked 4
YearRankTypeTitle / Venue / Authors
2024 — conf
A Case For Reflection In Autograding.
ITiCSE (1)
Chad Hogg
2022 — conf
Designing Autograders for Novice Programmers.
SIGCSE (2)
Chad Hogg, Maria Jump
2016 J jnl
Learning Hierarchical Task Models from Input Traces.
Comput. Intell.
Chad Hogg, Héctor Muñoz-Avila, Ugur Kuter
2010 A* conf
Learning Methods to Generate Good Plans: Integrating HTN Learning and Reinforcement Learning.
AAAI
Chad Hogg, Ugur Kuter, Hector Muñoz-Avila
2009 A* conf
Learning HTN Method Preconditions and Action Models from Partial Observations.
IJCAI
Hankz Hankui Zhuo, Derek Hao Hu, Chad Hogg, Qiang Yang, Hector Muñoz-Avila
2009 A* conf
Learning Hierarchical Task Networks for Nondeterministic Planning Domains.
IJCAI
Chad Hogg, Ugur Kuter, Héctor Muñoz-Avila
2009 C conf
Spatial Event Prediction by Combining Value Function Approximation and Case-Based Reasoning.
ICCBR
Hua Li, Héctor Muñoz-Avila, Diane Bramsen, Chad Hogg, Rafael Alonso
2008 — conf
Discovering Feature Weights for Feature-based Indexing of Q-tables.
ECCBR Workshops
Chad Hogg, Stephen Lee-Urban, Bryan Auslander, Héctor Muñoz-Avila
2008 A* conf
HTN-MAKER: Learning HTNs with Minimal Additional Knowledge Engineering Required.
AAAI
Chad Hogg, Héctor Muñoz-Avila, Ugur Kuter
2008 — conf
Recognizing the Enemy: Combining Reinforcement Learning with Strategy Selection Using Case-Based Reasoning.
ECCBR
Bryan Auslander, Stephen Lee-Urban, Chad Hogg, Héctor Muñoz-Avila
2007 Misc conf
Adaptation of Hierarchical Task Network Plans.
FLAIRS
Ian Warfield, Chad Hogg, Stephen Lee-Urban, Hector Muñoz-Avila
2025 Best paper conf
Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja.
CheckMATE
Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda
2026 Best paper preprint
ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage.
arXiv
Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski