We learn by seeing, moving, and interacting with our world. Our brain’s sensorimotor mechanisms allow us to learn a rich model of the world, quickly build models to make predictions, and detect anomalies.
In this Brains@Bay meetup, we are focusing on how sensorimotor learning (i.e. learning through interaction with the environment with a closed-loop between action and perception) can lead to more flexible and robust machine learning systems.
➤ Richard Sutton, DeepMind and University of Alberta
The Increasing Role of Sensorimotor Experience in Artificial Intelligence
➤ Clément Moulin-Frier, Flowers Laboratory
Open-ended Skill Acquisition in Humans and Machines: An Evolutionary and Developmental Perspective
➤ Viviane Clay, Numenta and University of Osnabrück
The Effect of Sensorimotor Learning on the Learned Representations in Deep Neural Networks
The talks will be followed by a discussion panel and Q&A.
We look forward to seeing you there! Join our Meetup group for more updates on this event.