2 papers
cs.AI2021
A Practical Guide to Multi-Objective Reinforcement Learning and Planning
Conor F. Hayes, Roxana Rădulescu, Eugenio Bargiacchi +15
Real-world decision-making tasks are generally complex, requiring trade-offs between multiple, often conflicting, objectives. Despite this, the majority of research in reinforcemen…
eess.IV2020
Binary Segmentation of Seismic Facies Using Encoder-Decoder Neural Networks
Gefersom Lima, Gabriel Ramos, Sandro Rigo +2
The interpretation of seismic data is vital for characterizing sediments' shape in areas of geological study. In seismic interpretation, deep learning becomes useful for reducing t…