Bryan Auslander

According to our database, Bryan Auslander authored at least 10 papers between 2008 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

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

Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

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

Proceedings of the Intelligent Systems and Applications, 2020

Exploiting Text Data to Improve Critical Care Mortality Prediction.

Bryan Auslander, Kalyan Moy Gupta, Michael W. Floyd, Sam Blisard, David W. Aha

Proceedings of the IEEE Globecom Workshops, 2020

2015

Case Based Disruption Monitoring.

Joseph Kann, Matthew Molineaux, Bryan Auslander

Proceedings of the Workshop Proceedings from The Twenty-Third International Conference on Case-Based Reasoning (ICCBR 2015), 2015

Learning to Estimate: A Case-Based Approach to Task Execution Prediction.

Bryan Auslander, Michael W. Floyd, Thomas Apker, Benjamin Johnson, Mark Roberts, David W. Aha

Proceedings of the Case-Based Reasoning Research and Development, 2015

Coordinating Robot Teams for Disaster Relief.

Mark Roberts, Thomas Apker, Benjamin Johnson, Bryan Auslander, Briana Wellman, David W. Aha

Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015

2014

Case-Based Parameter Selection for Plans: Coordinating Autonomous Vehicle Teams.

Bryan Auslander, Tom Apker, David W. Aha

Proceedings of the Case-Based Reasoning Research and Development, 2014

2012

Maritime Threat Detection Using Probabilistic Graphical Models.

Bryan Auslander, Kalyan Moy Gupta, David William Aha

Proceedings of the Twenty-Fifth International Florida Artificial Intelligence Research Society Conference, 2012

2008

Discovering Feature Weights for Feature-based Indexing of Q-tables.

Chad Hogg, Stephen Lee-Urban, Bryan Auslander, Héctor Muñoz-Avila

Proceedings of the ECCBR 2008, 2008

Recognizing the Enemy: Combining Reinforcement Learning with Strategy Selection Using Case-Based Reasoning.

Bryan Auslander, Stephen Lee-Urban, Chad Hogg, Héctor Muñoz-Avila

Proceedings of the Advances in Case-Based Reasoning, 9th European Conference, 2008