Irl

Inverse Reinforcement Learning, Inverse Optimal Control, Apprenticeship Learning
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Good Papers231
5 years ago1
I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers
Gp4a179
4 years ago1Jupyter Notebook
Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes"
Deep Kernel Transfer142
2 years ago6Python
Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
Data Efficient Reinforcement Learning With Probabilistic Model Predictive Control76
10 months agomitPython
Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gym environments
Graph Gaussian Processes41
a year agomitPython
Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".
Rumour Classification30
8 years agolgpl-3.0Python
Code to reproduce experiments from the EMNLP 2015 paper about Rumour Stance Classification with Gaussian Processes.
Irl19
3 years agoMATLAB
Inverse Reinforcement Learning, Inverse Optimal Control, Apprenticeship Learning
Gpml16
5 years agootherMATLAB
An up-to-date version of GPML library.
Cogp11
10 years ago2otherMatlab
Collaborative multi-output Gaussian processes
Riemannian Gaussian Processes7
3 years agomitPython
Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".
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