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Nishanth Anand

Nishanth Anand is a Ph.D. candidate in Computer Science at McGill University and Mila. His research focuses on Continual Reinforcement Learning, where he develops novel algorithms inspired by cognitive science and neuroscience.

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Continual Learning requires Rethinking Learning Architectures

Learning is an active process. An animal acquires knowledge about the world and changes its behaviour as a result.