-
Scalable Anytime Planning for Multi-Agent MDPs
We present a scalable tree search planning algorithm for large multi-age...
01/12/2021 ∙ by Shushman Choudhury, et al. ∙
0
∙
share
read it
-
Signal Enhancement for Magnetic Navigation Challenge Problem
Harnessing the magnetic field of the earth for navigation has shown prom...
07/23/2020 ∙ by Albert R. Gnadt, et al. ∙
1
∙
share
read it
-
Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning
Multi-agent reinforcement learning (MARL) requires coordination to effic...
06/19/2020 ∙ by Sheng Li, et al. ∙
35
∙
share
read it
-
Towards Recurrent Autoregressive Flow Models
Stochastic processes generated by non-stationary distributions are diffi...
06/17/2020 ∙ by John Mern, et al. ∙
0
∙
share
read it
-
Self-Supervised Feature Extraction for 3D Axon Segmentation
Existing learning-based methods to automatically trace axons in 3D brain...
04/20/2020 ∙ by Tzofi Klinghoffer, et al. ∙
0
∙
share
read it
-
Deep Reinforcement Learning for Task-driven Discovery of Incomplete Networks
Complex networks are often either too large for full exploration, partia...
09/16/2019 ∙ by Peter Morales, et al. ∙
0
∙
share
read it
-
Feature Forwarding for Efficient Single Image Dehazing
Haze degrades content and obscures information of images, which can nega...
04/19/2019 ∙ by Peter Morales, et al. ∙
0
∙
share
read it
