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Infinite Ends from Finite Samples: Open-Ended Goal Inference as Top-Down Bayesian Filtering of Bottom-Up Proposals.
Tan Zhi-Xuan
Gloria Kang
Vikash Mansinghka
Joshua B. Tenenbaum
Published in:
CoRR (2024)
Keyphrases
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open ended
bayesian filtering
learning outcomes
particle filtering
object tracking
kalman filter
bayesian networks
inquiry learning
particle filter
visual tracking
affect detection
machine learning
learning algorithm
probability distribution
generative model