8 citations · 21 across the 5 of their papers we have counts for
Showing 2020Show all
2 papers · 1 filter
cs.MA2020★ 4 cited
Low-Bandwidth Communication Emerges Naturally in Multi-Agent Learning Systems
Niko A. Grupen, Daniel D. Lee, Bart Selman
In this work, we study emergent communication through the lens of cooperative multi-agent behavior in nature. Using insights from animal communication, we propose a spectrum from l…
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…