Alternatives and similar repositories for reinforcement-learning-kdd

Users that are interested in reinforcement-learning-kdd are comparing it to the libraries listed below

• ADGEfficiency / dsr-rl
  Reinforcement learning course at Data Science Retreat
  ☆42Updated 6 years ago
• RobRomijnders / bandit
  Implementation of Counterfactual risk minimization
  ☆26Updated 8 years ago
• crowdAI / crowdai-criteo-ad-placement-challenge-starter-kit
  Starter kit for getting started in the NIPS 2017 Criteo Ad Placement Challenge
  ☆18Updated 7 years ago
• hamaadshah / gan_tensorflow
  Automatic feature engineering using Generative Adversarial Networks using TensorFlow.
  ☆51Updated 2 years ago
• shagunsodhani / memory-augmented-self-play
  PyTorch implementation of Memory Augmented Self-Play
  ☆52Updated 5 years ago
• automl / ParameterImportance
  Parameter Importance Analysis Tool
  ☆77Updated 4 years ago
• allenday / contextual-bandit
  working example of a contextual multi-armed bandit
  ☆57Updated 6 years ago
• AdeelMufti / DifferentiableNeuralComputer
  Optimized Differentiable Neural Computer In Chainer
  ☆23Updated 7 years ago
• ermongroup / best-arm-delayed
  Code for "Best arm identification in multi-armed bandits with delayed feedback", AISTATS 2018.
  ☆19Updated 7 years ago
• suriyadeepan / BayesianML
  Experiments in Bayesian Machine Learning
  ☆69Updated 6 years ago
• seba-1511 / randopt
  Streamlined machine learning experiment management.
  ☆107Updated 5 years ago
• garymcintire / mpi_util
  ☆25Updated 8 years ago
• AdamStelmaszczyk / learning2run
  Our NIPS 2017: Learning to Run source code
  ☆55Updated 2 years ago
• arnomoonens / yarll
  Combining deep learning and reinforcement learning.
  ☆81Updated 4 years ago
• DanielTakeshi / rl_algorithms
  I am implementing a lot of reinforcement learning and imitation learning algorithms since I'm sick of reading about them but not really u…
  ☆52Updated 5 years ago
• zygmuntz / pointer-networks-experiments
  Sorting numbers with pointer networks
  ☆55Updated 7 years ago
• andrewk1 / pytorch-deep-bayesian-bandits
  PyTorch port and extension of the Deep Bayesian Bandits Library
  ☆42Updated 6 years ago
• alok / rl_implementations
  Reinforcement learning algorithm implementations and ML experimentation workspace
  ☆43Updated 6 years ago
• illidanlab / rpg
  Ranking Policy Gradient
  ☆23Updated 5 years ago
• mila-iqia / summerschool2017
  Material for the Montréal Deep Learning Summer School 2017
  ☆77Updated 8 years ago
• rll / deeprlhw2
  ☆24Updated 10 years ago
• MattKleinsmith / pbt
  Population Based Training (in PyTorch with sqlite3). Status: Unsupported
  ☆162Updated 7 years ago
• uber-research / metropolis-hastings-gans
  ☆116Updated 2 years ago
• david-abel / rl_info_theory
  A collection of code investigating the use of information theory for abstractions in RL
  ☆16Updated 6 years ago
• adith387 / slates_semisynth_expts
  Semi-synthetic experiments to test several approaches for off-policy evaluation and optimization of slate recommenders.
  ☆43Updated 7 years ago
• ondrejbiza / bandits
  Comparison of bandit algorithms from the Reinforcement Learning bible.
  ☆17Updated 7 years ago
• YRussac / WeightedLinearBandits
  Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"
  ☆17Updated 5 years ago
• flyyufelix / Direct-Future-Prediction-Keras
  Direct Future Prediction (DFP ) in Keras
  ☆109Updated 7 years ago
• Breakend / OptionGAN
  Code accompanying the OptionGAN paper.
  ☆44Updated 7 years ago
• edwin-de-jong / incremental-sequence-learning
  Implementation of the Incremental Sequence Learning algorithms described in the Incremental Sequence Learning article
  ☆40Updated 8 years ago