Vinícius Michel Göttin

Title: Vinícius Michel Göttin: Innovator in Deep Reinforcement Learning

Introduction

Vinícius Michel Göttin is a prominent inventor based in Rio de Janeiro, Brazil. He has made significant contributions to the field of artificial intelligence, particularly in the area of deep reinforcement learning. His innovative work focuses on optimizing workflows in shared computing environments.

Latest Patents

Vinícius holds a patent titled "Deep reinforcement learning for workflow optimization using provenance-based simulation." This patent employs deep reinforcement learning techniques and provenance-based simulation for resource allocation in a shared computing environment. The method involves obtaining a specification of a workflow, simulating different configurations, and evaluating control variables using a reinforcement learning agent. The agent observes states and calculates an expected utility score for resource allocation, enhancing the efficiency of concurrent workflows.

Career Highlights

Vinícius is currently associated with Emc IP Holding Company LLC, where he applies his expertise in artificial intelligence and machine learning. His work has garnered attention for its innovative approach to resource management in computing environments.

Collaborations

Vinícius collaborates with notable colleagues, including Daniel Sadoc Menasché and Alex Laier Bordignon. Their combined efforts contribute to advancements in the field of deep learning and workflow optimization.

Conclusion

Vinícius Michel Göttin is a key figure in the realm of deep reinforcement learning, with a focus on optimizing workflows through innovative techniques. His contributions are paving the way for more efficient resource allocation in shared computing environments.