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cs.LG2026
Reward Shaping and Action Masking for Compositional Tasks using Behavior Trees and LLMs
Nicholas Potteiger, Ankita Samaddar, Taylor T. Johnson +1
Decomposing complex tasks into a sequence of simpler subtasks can improve learning efficiency for an autonomous agent. Reinforcement learning (RL) can be used to optimize agent pol…
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…