I am a Machine Learning Researcher with a strong focus on Reinforcement Learning, working at the intersection of theory and application since 2019 at the Center of Excellence in Artificial Intelligence (CEIA) in Goiânia, Brazil.
My work spans both fundamental and applied research, with experience leading R&D projects in collaboration with private companies, designing intelligent systems that deliver real-world impact. I specialize in developing and deploying advanced algorithms in reinforcement learning and recommendation systems, taking models from initial data analysis all the way to production-grade deployment using modern MLOps practices.
Working towards General AI through Deep Reinforcement Learning
My research interests are deeply rooted in the pursuit of General Artificial Intelligence, particularly through the lens of Deep Reinforcement Learning. I’m passionate about enabling agents—be they robots or software—to learn complex, adaptive behaviours through interaction and experience, and I’m especially intrigued by the connection between learned policies and human behaviour. I aim to explore how intelligent systems can generalize knowledge across tasks, cooperate with humans, and make decisions in dynamic environments.
AI researchers seek to understand intelligence well enough to create beings of greater intelligence than current humans.
Reaching this profound intellectual milestone will enrich our economies and challenge our societal institutions. It will be unprecedented and transformational, but also a continuation of trends that are thousands of years old.
People have always created tools and been changed by them; this is what humans do.
The next big step is to understand ourselves.
This is a quest grand and glorious, and quintessentially human.
Richard Sutton
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