This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.

Reward Conditioned Neural Movement Primitives

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

Reimplement Prof.Kroemer's recovery paper

Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

Dynamic Movement Primitives in Python

Deep autoencoder for robotic task learning in latent space

PyRoboLearn: a Python framework for Robot Learning

PyTorch implementations of deep reinforcement learning algorithms and environments

C++ library for Function Approximation, Dynamical Movement Primitives, and Black-Box Optimization

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

C++ code for the obstacle avoidance

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

VRAE Variational Recurrent Autoencoder

Learning Control Lyapunov Functions in Python

Reinforcement Learning in PyTorch

tensorflow implement the paper A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data

Multi-Scale Convolutional Recurrent Encoder-Decoder

An open source robotics benchmark for meta- and multi-task reinforcement learning

Reading list for research topics in multimodal machine learning

This repository contains the code for GMR-based Gaussian process.

Lstm variational auto-encoder API for time series anomaly detection and features extraction