Discuss about machine learning techniques that use in agent based modeling.

Talk about each technique and how to use in about one page and then compare the four techniques in the fifth page.
1) Deep learning, how it uses in the paper (Deep Learning in (and of) Agent-Based Models: A Prospectus)
2) step-wise linear regression, how it uses in the paper (Data-Driven Agent-Based Modeling, with Application to Rooftop Solar Adoption)
3) Bayesian Network, how it uses in the paper (Intelligent judgements over health risks in a spatial agent-based model)
4) ML model to enhance performance time for an interactive urban decision-making mode, how it uses in the paper (Machine Learning for Real-time Urban Metrics and Design Recommendations)

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