14 citations · 14 across the 2 of their papers we have counts for
2 papers
cs.LG2022
Learning Interaction Variables and Kernels from Observations of Agent-Based Systems
Jinchao Feng, Mauro Maggioni, Patrick Martin +1
Dynamical systems across many disciplines are modeled as interacting particles or agents, with interaction rules that depend on a very small number of variables (e.g. pairwise dist…
cs.MA2020★ 14 cited
Heterogeneous Multi-Agent Reinforcement Learning for Unknown Environment Mapping
Ceyer Wakilpoor, Patrick J. Martin, Carrie Rebhuhn +1
Reinforcement learning in heterogeneous multi-agent scenarios is important for real-world applications but presents challenges beyond those seen in homogeneous settings and simple…