Code for "Meta-Learning Priors for Efficient Online Bayesian Regression" by James Harrison, Apoorva Sharma, and Marco Pavone
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Updated
Jan 15, 2019 - Jupyter Notebook
Code for "Meta-Learning Priors for Efficient Online Bayesian Regression" by James Harrison, Apoorva Sharma, and Marco Pavone
An LLM-free, action-grounded, locally-learning PC agent with dual-memory architecture (skill registry + Action Transformer).
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
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