most citedOptimizing UAV-UGV Coalition Operations: A Hybrid Clustering and Multi-Agent Reinforcement Learning Approach for Path Planning in Obstructed Environment

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.RO2024★ 1 cited

Optimizing UAV-UGV Coalition Operations: A Hybrid Clustering and Multi-Agent Reinforcement Learning Approach for Path Planning in Obstructed Environment

Shamyo Brotee, Farhan Kabir, Md. Abdur Razzaque +4

One of the most critical applications undertaken by coalitions of Unmanned Aerial Vehicles (UAVs) and Unmanned Ground Vehicles (UGVs) is reaching predefined targets by following th…

cs.LG2018

A Gray Box Interpretable Visual Debugging Approach for Deep Sequence Learning Model

Md Mofijul Islam, Amar Debnath, Tahsin Al Sayeed +6

Deep Learning algorithms are often used as black box type learning and they are too complex to understand. The widespread usability of Deep Learning algorithms to solve various mac…