2 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.HC2025
Sampling Preferences Yields Simple Trustworthiness Scores
Sean Steinle
With the onset of large language models (LLMs), the performance of artificial intelligence (AI) models is becoming increasingly multi-dimensional. Accordingly, there have been seve…