Aurelien-Pelissier / Feature-Selection-as-Reinforcement-LearningLinks
Bandit based Reinforcement Learning applied on Feature selection, a Monte Carlo search tree algorithm is trained to find the best feature subset on various training set.
☆21Updated 3 years ago
Alternatives and similar repositories for Feature-Selection-as-Reinforcement-Learning
Users that are interested in Feature-Selection-as-Reinforcement-Learning are comparing it to the libraries listed below
Sorting:
- Offline evaluation of multi-armed bandit algorithms☆23Updated 4 years ago
- Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR☆63Updated 5 years ago
- Tutorials about AutoML☆86Updated 3 years ago
- Code for the experiments of Matrix Factorization Bandit☆24Updated 6 years ago
- Feature Interaction Interpretability via Interaction Detection☆35Updated 2 years ago
- Transformers are Graph Neural Networks!☆54Updated 4 years ago
- Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)☆43Updated 3 years ago
- An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.☆84Updated 3 years ago
- Deep Neural Decision Trees☆161Updated 3 years ago
- Code to reproduce the results in the paper Supervised Learning on Relational Databases with Graph Neural Networks.☆63Updated 5 years ago
- A collection of research and survey papers of reforcement learning (RL) based recommender system techniques.☆72Updated 5 years ago
- ☆51Updated last year
- Tutorial on Multi-Objective Recommender Systems @ KDD 2021☆19Updated 2 years ago
- Learning to Rank in PyTorch☆90Updated last year
- Source code for our paper "Pessimistic Decision-Making for Recommender Systems" published at ACM TORS, and RecSys 2021.☆11Updated 2 years ago
- The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical…☆51Updated 2 years ago
- ☆14Updated 4 years ago
- ☆67Updated 2 years ago
- Fast Differentiable Forest lib with the advantages of both decision trees and neural networks☆78Updated 3 years ago
- A comparison of Google SlateQ algorithm with traditional Reinforcement Learning algorithms☆37Updated 2 years ago
- ☆34Updated 5 years ago
- Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.☆40Updated 3 years ago
- In this notebook several classes of multi-armed bandits are implemented. This includes epsilon greedy, UCB, Linear UCB (Contextual bandit…☆88Updated 4 years ago
- The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)☆58Updated 2 years ago
- PPRGo model in TensorFlow 1, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)☆36Updated 3 years ago
- Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes☆62Updated last year
- A curated list of awesome graph representation learning.☆69Updated 4 years ago
- ☆14Updated 5 years ago
- A lightweight contextual bandit & reinforcement learning library designed to be used in production Python services.☆66Updated 4 years ago
- Official implementation of Learning The Pareto Front With HyperNetworks [ICLR 2021]☆104Updated 3 years ago