A pytorch reprelication of the model-based reinforcement learning algorithm MBPO

Meta-RL Model-Based Algorithm

Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm

Structural Time Series in JAX

A Course in Machine Learning

XCM: An Explainable Convolutional Neural Network for Multivariate Time Series Classification

Multiple pooling operators and transformations for fast and effective time series classification

A Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀

Implementation of Model-Agnostic Meta-Learning (MAML) applied on Reinforcement Learning problems in TensorFlow 2.

Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.

AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'

Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gym environments

Bayesian Reinforcement Learning in Tensorflow