Bayesian-Inference

Mode-constrained Model-based Reinforcement Learning via Gaussian Processes featured image

Mode-constrained Model-based Reinforcement Learning via Gaussian Processes

We present a model-based RL algorithm that constrains training to a single dynamic mode with high probability. This is a difficult problem because the mode constraint is a hidden …

Aidan Scannell
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Identifiable Mixtures of Sparse Variational Gaussian Process Experts featured image

Identifiable Mixtures of Sparse Variational Gaussian Process Experts

This work introduces a variational lower bound for the Mixture of Gaussian Process Experts model with a GP-based gating network based on sparse GPs. The model (and inference) are …

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Aidan Scannell
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Gaussian Process Regression

This post introduces the theory underpinning Gaussian process regression and provides a basic walk-through in python.

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Aidan Scannell
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