8 citations · 12 across the 3 of their papers we have counts for
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cs.MA2020
Scalable Reinforcement Learning Policies for Multi-Agent Control
Christopher D. Hsu, Heejin Jeong, George J. Pappas +1
We develop a Multi-Agent Reinforcement Learning (MARL) method to learn scalable control policies for target tracking. Our method can handle an arbitrary number of pursuers and targ…
cs.LG2020★ 8 cited
Learning to Track Dynamic Targets in Partially Known Environments
Heejin Jeong, Hamed Hassani, Manfred Morari +2
We solve active target tracking, one of the essential tasks in autonomous systems, using a deep reinforcement learning (RL) approach. In this problem, an autonomous agent is tasked…