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Wilka Carvalho is a PhD Candidate in Computer Science at the University of Michigan–Ann Arbor where he is advised by Honglak Lee, Satinder Singh, and Richard Lewis. His long-term research goal is to develop cognitive theories of learning that help us understand how humans infer, reason with, and exploit the rich structure present in realistic visual scenes to enable sophisticated behavioral policies. Towards this end, he is studying how object-centric representation learning and reinforcement learning can bring us closer to human-level artificial intelligence. He is supported by an NSF GRFP Fellowship and a UM Rackham Merit Fellowship.
Author Information
Wilka Carvalho (University of Michigan)
I am a Masters student and NSF Graduate Research Fellow in the Computer Science Department at the University of Southern California. My primary research interest is the development of neuroscience- and cognitive science-informed artificial intelligence and machine learning models with brain-rivaling information-processing capabilities.
More from the Same Authors
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2021 : Task-driven Discovery of Perceptual Schemas for Generalization in Reinforcement Learning »
Wilka Carvalho · Andrew Lampinen · Kyriacos Nikiforou · Felix Hill · Murray Shanahan -
2021 : Learning compositional tasks from language instructions »
Lajanugen Logeswaran · Wilka Carvalho · Honglak Lee -
2021 Poster: Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning »
Christopher Hoang · Sungryull Sohn · Jongwook Choi · Wilka Carvalho · Honglak Lee -
2020 : Panel »
· Wilka Carvalho · Judith Fan · Tejas Kulkarni · Christopher Xie