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

• jsyoon0823 / INVASE
  Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR
  ☆60Updated 4 years ago
• moorecsys / moorecsys.github.io
  Tutorial on Multi-Objective Recommender Systems @ KDD 2021
  ☆19Updated 2 years ago
• xmzzyo / LTV-prediction
  ☆11Updated 2 years ago
• JeanKaddour / SIN
  Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)
  ☆42Updated 2 years ago
• usaito / kdd2022-tutorial
  ☆12Updated 2 years ago
• olivierjeunen / pessimism-recsys-2021
  Source code for our paper "Pessimistic Decision-Making for Recommender Systems" published at ACM TORS, and RecSys 2021.
  ☆10Updated 2 years ago
• spotify-research / RIPS_KDD2020
  ☆17Updated 4 years ago
• antoine-hochart / bandit_algo_evaluation
  Offline evaluation of multi-armed bandit algorithms
  ☆22Updated 4 years ago
• younglululu / DeepPINK
  DeepPINK: reproducible feature selection in deep neural networks
  ☆21Updated last year
• Jinjiarui / rl4rs-papers
  A collection of research and survey papers of reforcement learning (RL) based recommender system techniques.
  ☆70Updated 4 years ago
• aiueola / wsdm2022-cascade-dr
  (WSDM2022 Best Paper Award Runner-Up) "Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model"
  ☆13Updated last year
• Matrix-Factorization-Bandit / IMFB-KDD2019
  Code for the experiments of Matrix Factorization Bandit
  ☆24Updated 6 years ago
• counterfactual-ml / kdd2022-tutorial
  Counterfactual Evaluation and Learning for Interactive Systems: Foundations, Implementations, and Recent Advances
  ☆12Updated 2 years ago
• zuoxingdong / gym-recsys
  Customizable RecSys Simulator for OpenAI Gym
  ☆27Updated 3 years ago
• deeplearningbrasil / mars-gym
  ☆51Updated last year
• BestActionNow / Slate_Aware_Ranking
  The implementation for our paper "Slate-Aware Ranking for Recommendation" accepted by WSDM.23
  ☆16Updated 2 years ago
• DeepBlueAI / AutoSeries
  ☆15Updated 5 years ago
• iankurgarg / Reinforcement-Learning-Feature-Selection
  Feature selection for maximizing expected cumulative reward
  ☆30Updated 7 years ago
• herilalaina / mosaic_ml
  AutoML with MCTS
  ☆17Updated 2 years ago
• sjblim / rmsn_nips_2018
  ☆37Updated 6 years ago
• rsheth80 / pmf-automl
  Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.
  ☆39Updated 3 years ago
• LARS-research / AutoML-Tutorial
  Tutorials about AutoML
  ☆84Updated 3 years ago
• YRussac / WeightedLinearBandits
  Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"
  ☆17Updated 5 years ago
• usaito / icml2022-mips
  (ICML2022) Off-Policy Evaluation for Large Action Spaces via Embeddings
  ☆20Updated 2 years ago
• BetsyHJ / SOFA
  A TensorFlow implementation of SOFA, the Simulator for OFfline LeArning and evaluation.
  ☆21Updated 4 years ago
• ludovikcoba / recoxplainer
  ☆28Updated 3 years ago
• saket-maheshwary / AutoLearn
  AutoLearn, a domain independent regression-based feature learning algorithm.
  ☆30Updated 5 years ago
• AkihikoWatanabe / DBGD
  A python implementation of Dueling Bandit Gradient Descent (DBGD)
  ☆23Updated 6 years ago
• IlyaTrofimov / bb2vec
  This is the source code of the paper "Inferring Complementary Products from Baskets and Browsing Sessions"
  ☆11Updated 6 years ago
• DeepWisdom / AutoSeries2019
  ☆18Updated 5 years ago