4 citations · 4 across the 2 of their papers we have counts for
3 papers
Autonomous Vehicle Patrolling Through Deep Reinforcement Learning: Learning to Communicate and Cooperate
Chenhao Tong, Maria A. Rodriguez, Richard O. Sinnott
Autonomous vehicles are suited for continuous area patrolling problems. Finding an optimal patrolling strategy can be challenging due to unknown environmental factors, such as wind…
Deep Back-Filling: a Split Window Technique for Deep Online Cluster Job Scheduling
Lingfei Wang, Aaron Harwood, Maria A. Rodriguez
Job scheduling is a critical component of workload management systems that can significantly influence system performance, e.g., in HPC clusters. The scheduling objectives are ofte…
An Energy-aware and Fault-tolerant Deep Reinforcement Learning based approach for Multi-agent Patrolling Problems
Chenhao Tong, Aaron Harwood, Maria A. Rodriguez +1
Autonomous vehicles are suited for continuous area patrolling problems. However, finding an optimal patrolling strategy can be challenging for many reasons. Firstly, patrolling env…