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Found 3 papers, 2 papers with code
Validating Gaussian Process Models with Simulation-Based Calibration
Gaussian process priors are a popular choice for Bayesian analysis of regression problems.
GPflux: A Library for Deep Gaussian Processes
GPflux is compatible with and built on top of the Keras deep learning eco-system.
Bellman: A Toolbox for Model-Based Reinforcement Learning in TensorFlow
This paves the way for new research directions, e. g. investigating uncertainty-aware environment models that are not necessarily neural-network-based, or developing algorithms to solve industrially-motivated benchmarks that share characteristics with real-world problems.
Model-based Reinforcement Learning
reinforcement-learning
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