8 citations · 21 across the 5 of their papers we have counts for
4 papers · 1 filter
U-Net for MAV-based Penstock Inspection: an Investigation of Focal Loss in Multi-class Segmentation for Corrosion Identification
Ty Nguyen, Tolga Ozaslan, Ian D. Miller +7
Periodical inspection and maintenance of critical infrastructure such as dams, penstocks, and locks are of significant importance to prevent catastrophic failures. Conventional man…
Scalable Centralized Deep Multi-Agent Reinforcement Learning via Policy Gradients
Arbaaz Khan, Clark Zhang, Daniel D. Lee +2
In this paper, we explore using deep reinforcement learning for problems with multiple agents. Most existing methods for deep multi-agent reinforcement learning consider only a sma…
Maximizing Activity in Ising Networks via the TAP Approximation
Christopher W. Lynn, Daniel D. Lee
A wide array of complex biological, social, and physical systems have recently been shown to be quantitatively described by Ising models, which lie at the intersection of statistic…
Surges of collective human activity emerge from simple pairwise correlations
Christopher W. Lynn, Lia Papadopoulos, Daniel D. Lee +1
Human populations exhibit complex behaviors---characterized by long-range correlations and surges in activity---across a range of social, political, and technological contexts. Yet…