Welcome! Our goal is to advance research on autonomous and intelligent systems with a focus on autonomous agents that interact with each other and humans. We primarily work at the intersection of artificial intelligence, machine learning, multi-agent systems, and controls, though we draw inspiration from other fields, like neuroscience, as well.
Check out our research to learn more!
Latest news
Huy gave an invited workshop talk on MARL!
Huy gave an invited talk at the IROS 2022 Decision Making in Multi-agent Systems Workshop. The talk was titled “On Utilities for Cooperative Multi-agent RL.”...
Our work on robot navigation was accepted to RA-L!
Our paper “WayFAST: Navigation with Predictive Traversability in the Field” was accepted for publication in IEEE RA-L! We present a new method for robot navi...
Our work on anomaly detection was accepted to IJCNN 2022!
Our paper “D-AnoGAN: Anomaly Detection in Disconnected Data Manifolds with Generative Adversarial Networks” was accepted for presentation at IJCNN 2022! We e...
Our work on hierarchical RL was accepted to ALA Workshop 2022!
Our paper “Feature Specialization and Clustering Improves Hierarchical Subtask Learning” was accepted for presentation at the Adaptive Learning Agents (ALA) ...
Press
Our work has been highlighted at UNITE.AI.