Reinforcement Learning-based Joint Path and Energy Optimization of Cellular-Connected Unmanned Aerial Vehicles

no code implementations • 27 Nov 2020 • Arash Hooshmand

We have used a reinforcement learning (RL) hierarchically to extend typical short-range path planners to consider battery recharge and solve the problem of UAVs in long missions.

Q-Learning Reinforcement Learning (RL)

Machine Learning Against Cancer: Accurate Diagnosis of Cancer by Machine Learning Classification of the Whole Genome Sequencing Data

no code implementations • 12 Sep 2020 • Arash Hooshmand

Indeed, a creative way to work with data and general algorithms has resulted in perfect classification i. e. all precision, sensitivity, and specificity are equal to 1 for most of the different tumor types even with a modest amount of data, and the same method works well on a series of cancers and results in great clustering of cancerous and healthy samples too.

BIG-bench Machine Learning Clustering +1