3 papers
cs.LG2025
Training RL Agents for Multi-Objective Network Defense Tasks
Andres Molina-Markham, Luis Robaina, Sean Steinle +6
Open-ended learning (OEL) -- which emphasizes training agents that achieve broad capability over narrow competency -- is emerging as a paradigm to develop artificial intelligence (…
cs.LG2024
Out-of-Distribution Detection for Neurosymbolic Autonomous Cyber Agents
Ankita Samaddar, Nicholas Potteiger, Xenofon Koutsoukos
Autonomous agents for cyber applications take advantage of modern defense techniques by adopting intelligent agents with conventional and learning-enabled components. These intelli…
cs.RO2024
Verification of Behavior Trees with Contingency Monitors
Serena S. Serbinowska, Nicholas Potteiger, Anne M. Tumlin +1
Behavior Trees (BTs) are high level controllers that have found use in a wide range of robotics tasks. As they grow in popularity and usage, it is crucial to ensure that the approp…