Adaptive Synthetic Characters for Military Training

no code implementations • 6 Jan 2021 • Volkan Ustun, Rajay Kumar, Adam Reilly, Seyed Sajjadi, Andrew Miller

Observation-based behavior model adaptation that leverages machine learning and the experience of synthetic entities in combination with appropriate prior knowledge can address the issues in the existing computational behavior models to create a better training experience in military training simulations.

BIG-bench Machine Learning Imitation Learning +1

Controlling Synthetic Characters in Simulations: A Case for Cognitive Architectures and Sigma

no code implementations • 6 Jan 2021 • Volkan Ustun, Paul S. Rosenbloom, Seyed Sajjadi, Jeremy Nuttal

Simulations, along with other similar applications like virtual worlds and video games, require computational models of intelligence that generate realistic and credible behavior for the participating synthetic characters.

Distributional Reinforcement Learning Unity

Finding Bottlenecks: Predicting Student Attrition with Unsupervised Classifier

no code implementations • 7 May 2017 • Seyed Sajjadi, Bruce Shapiro, Christopher McKinlay, Allen Sarkisyan, Carol Shubin, Efunwande Osoba

With pressure to increase graduation rates and reduce time to degree in higher education, it is important to identify at-risk students early.

Clustering