Chad Hogg

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 3

Top Topics

Introductory Programming

Learning Models

Novice Programmers

Bayesian Methods

Top Venues

Comput. Intell.

Publications

Chad Hogg
A Case For Reflection In Autograding. ITiCSE (1) (2024)
Chad Hogg, Maria Jump
Designing Autograders for Novice Programmers. SIGCSE (2) (2022)
Chad Hogg, Héctor Muñoz-Avila, Ugur Kuter
Learning Hierarchical Task Models from Input Traces. Comput. Intell. 32 (1) (2016)
Chad Hogg, Ugur Kuter, Hector Muñoz-Avila
Learning Methods to Generate Good Plans: Integrating HTN Learning and Reinforcement Learning. AAAI (2010)
Hankz Hankui Zhuo, Derek Hao Hu, Chad Hogg, Qiang Yang, Hector Muñoz-Avila
Learning HTN Method Preconditions and Action Models from Partial Observations. IJCAI (2009)
Hua Li, Héctor Muñoz-Avila, Diane Bramsen, Chad Hogg, Rafael Alonso
Spatial Event Prediction by Combining Value Function Approximation and Case-Based Reasoning. ICCBR (2009)
Chad Hogg, Ugur Kuter, Héctor Muñoz-Avila
Learning Hierarchical Task Networks for Nondeterministic Planning Domains. IJCAI (2009)
Chad Hogg, Stephen Lee-Urban, Bryan Auslander, Héctor Muñoz-Avila
Discovering Feature Weights for Feature-based Indexing of Q-tables. ECCBR Workshops (2008)
Chad Hogg, Héctor Muñoz-Avila, Ugur Kuter
HTN-MAKER: Learning HTNs with Minimal Additional Knowledge Engineering Required. AAAI (2008)
Bryan Auslander, Stephen Lee-Urban, Chad Hogg, Héctor Muñoz-Avila
Recognizing the Enemy: Combining Reinforcement Learning with Strategy Selection Using Case-Based Reasoning. ECCBR (2008)
Ian Warfield, Chad Hogg, Stephen Lee-Urban, Hector Muñoz-Avila
Adaptation of Hierarchical Task Network Plans. FLAIRS Conference (2007)