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Found 3 papers, 1 papers with code
Continual Learning with Deep Streaming Regularized Discriminant Analysis
Continual learning is increasingly sought after in real world machine learning applications, as it enables learning in a more human-like manner.
Intrinsic Motivation and Episodic Memories for Robot Exploration of High-Dimensional Sensory Spaces
This work presents an architecture that generates curiosity-driven goal-directed exploration behaviours for an image sensor of a microfarming robot.
Toward Biochemical Probabilistic Computation
Indeed, Bayesian inference is a way to do optimal reasoning when only uncertain and incomplete information is available.
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