32 citations · 37 across the 11 of their papers we have counts for
3 papers · 1 filter
Safety-Aware Task Composition for Discrete and Continuous Reinforcement Learning
Kevin Leahy, Makai Mann, Zachary Serlin
Compositionality is a critical aspect of scalable system design. Reinforcement learning (RL) has recently shown substantial success in task learning, but has only recently begun to…
CatlNet: Learning Communication and Coordination Policies from CaTL+ Specifications
Wenliang Liu, Kevin Leahy, Zachary Serlin +1
In this paper, we propose a learning-based framework to simultaneously learn the communication and distributed control policies for a heterogeneous multi-agent system (MAS) under c…
Context-Dependent Anomaly Detection with Knowledge Graph Embedding Models
Nathan Vaska, Kevin Leahy, Victoria Helus
Increasing the semantic understanding and contextual awareness of machine learning models is important for improving robustness and reducing susceptibility to data shifts. In this…