Michele Garibbo

Michele Garibbo is a Research Fellow at the Department of Physiology, Anatomy and Genetics, University of Oxford, focusing on the intersection of neuroscience and reinforcement learning (RL).

Research Interests:

• Neuroscience
• Artificial Intelligence
• Cognitive Science
• Biomedical Engineering
• Machine Learning
• Computational Neuroscience

His work applies (deep) RL methods to understand human motor learning and cognitive planning, leveraging policy gradients and latent planning models. Past projects include deep RL research on value estimation.