Prototypes delivered
The ninth project carried out by the Computer Science students was the development of a project based on the application of artificial neural networks in reinforcement learning, with the aim of presenting innovative solutions to the project partners through the use of technology.
PROBLEM:Increasing and scaling the way of validating the variables for pricing synthetic fixed income assets.
OBJECTIVE: Pricing to achieve 100% of CDI on Synthetic Fixed Income Assets
AUDIENCE: The company's pricing team
PROBLEM: Autonomous navigation algorithm for self-guided robots
OBJECTIVE: To develop an autonomous navigation algorithm for self-guided robots using computer vision and reinforcement learning.
AUDIENCE: Technology team
