Recognizing the Enemy: Combining Reinforcement Learning with Strategy Selection Using Case-Based Reasoning. - Bryan Auslander; Stephen Lee-Urban; Chad Hogg; Héctor Muñoz-Avila (ECCBR, 2008)

Discovering Feature Weights for Feature-based Indexing of Q-tables. - Chad Hogg; Stephen Lee-Urban; Bryan Auslander; Héctor Muñoz-Avila (ECCBR Workshops, 2008)

Maritime Threat Detection Using Probabilistic Graphical Models. - Bryan Auslander; Kalyan Moy Gupta; David William Aha (FLAIRS, 2012)

Case-Based Parameter Selection for Plans: Coordinating Autonomous Vehicle Teams. - Bryan Auslander; Tom Apker; David W. Aha (ICCBR, 2014)

Coordinating Robot Teams for Disaster Relief. - Mark Roberts; Thomas Apker; Benjamin Johnson 003; Bryan Auslander; Briana Wellman; David W. Aha (FLAIRS, 2015)

Learning to Estimate: A Case-Based Approach to Task Execution Prediction. - Bryan Auslander; Michael W. Floyd; Thomas Apker; Benjamin Johnson 003; Mark Roberts; David W. Aha (ICCBR, 2015)

Case Based Disruption Monitoring. - Joseph Kann; Matthew Molineaux; Bryan Auslander (ICCBR (Workshops), 2015)

Exploiting Text Data to Improve Critical Care Mortality Prediction. - Bryan Auslander; Kalyan Moy Gupta; Michael W. Floyd; Sam Blisard; David W. Aha (GLOBECOM (Workshops), 2020)

Learning Actions with Symbolic Literals and Continuous Effects for a Waypoint Navigation Simulation. - Morgan Fine-Morris; Bryan Auslander; Hector Muñoz-Avila; Kalyan Moy Gupta (IntelliSys (1), 2020)

HTN Learning via Transfer Learning of Domain Landmarks. - Greg Pennisi; Morgan Fine-Morris; Michael W. Floyd; Bryan Auslander; Hector Muñoz-Avila; Jeff Heflin; Kalyan Moy Gupta (FLAIRS, 2021)