 | 2010 |
|---|
| 8 |       | Chad Hogg,
Ugur Kuter,
Hector Muñoz-Avila:
Learning Methods to Generate Good Plans: Integrating HTN Learning and Reinforcement Learning.
AAAI 2010 |
| 2009 |
|---|
| 7 | | 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: 465-478 |
| 6 | | Chad Hogg,
Ugur Kuter,
Héctor Muñoz-Avila:
Learning Hierarchical Task Networks for Nondeterministic Planning Domains.
IJCAI 2009: 1708-1714 |
| 5 | | 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: 1804-1810 |
| 2008 |
|---|
| 4 |  | Chad Hogg,
Héctor Muñoz-Avila,
Ugur Kuter:
HTN-MAKER: Learning HTNs with Minimal Additional Knowledge Engineering Required.
AAAI 2008: 950-956 |
| 3 | | 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: 59-73 |
| 2 | | Chad Hogg,
Stephen Lee-Urban,
Bryan Auslander,
Héctor Muñoz-Avila:
Discovering Feature Weights for Feature-based Indexing of Q-tables.
ECCBR Workshops 2008: 131-142 |
| 2007 |
|---|
| 1 | | Ian Warfield,
Chad Hogg,
Stephen Lee-Urban,
Hector Muñoz-Avila:
Adaptation of Hierarchical Task Network Plans.
FLAIRS Conference 2007: 429-434 |
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