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