wearepal / UniversalGPLinks
Generic implementation of GP model
☆8Updated 6 years ago
Alternatives and similar repositories for UniversalGP
Users that are interested in UniversalGP are comparing it to the libraries listed below
Sorting:
- Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…☆40Updated 6 years ago
- Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"☆39Updated last year
- Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)☆33Updated 5 years ago
- PyTorch implementation of Probabilistic Network Ensembles on toy problems☆23Updated 2 years ago
- Deconfounding Reinforcement Learning in Observational Settings☆52Updated 6 years ago
- Multiple output Gaussian processes in MATLAB including the latent force model.☆51Updated 9 years ago
- Streaming sparse Gaussian process approximations☆66Updated 2 years ago
- Convergent Policy Optimization for Safe Reinforcement Learning☆11Updated 5 years ago
- Ordered Preference Elicitation Strategies for Multi-Objective Decision Making using Gaussian Processes☆23Updated 6 years ago
- Scalable Bayesian Inverse Reinforcement Learning (ICLR 2021) by Alex J. Chan and Mihaela van der Schaar.☆47Updated 4 years ago
- Mixtures of Gaussian Process Experts in GPflow/TensorFlow☆11Updated 2 years ago
- Implementation of (Learning Continuous Control Policies by Stochastic Value Gradients)[https://arxiv.org/abs/1510.09142]☆26Updated 3 years ago
- multivariate Gaussian process regression and multivariate Student-t process regression☆73Updated 4 years ago
- Variational Dirichlet Process Gaussian Mixture Models☆29Updated 10 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆56Updated 6 years ago
- Deep Gaussian Process for Inverse Reinforcement Learning☆33Updated 7 years ago
- project for my essay on how to use neural networks to linearise nonlinear dynamical systems☆9Updated 4 years ago
- Offline Contextual Bayesian Optimization☆14Updated last year
- Direct Gibbs sampling for DPMM using python.☆16Updated 8 years ago
- Simple implementation of GP-UCB algorithm.☆52Updated 8 years ago
- This repository contains PyTorch implementations of Neural Process, Attentive Neural Process, and Recurrent Attentive Neural Process.☆19Updated 4 years ago
- Implementation of the Gaussian processes regression with inducing points for online data with ensemble Kalman filter estimation. Code for…☆17Updated 6 years ago
- ☆39Updated 8 years ago
- ☆15Updated 6 years ago
- Simple implementation of the CGP-UCB algorithm.☆36Updated 5 years ago
- A Recurrent Latent Variable Model for Sequential Data☆27Updated 7 years ago
- ☆30Updated last year
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 5 years ago
- PyTorch implementation of Stein Variational Gradient Descent☆45Updated 2 years ago
- Implementation of point-based value iteration (for POMDPs)☆12Updated 5 years ago