Alternatives and similar repositories for MultiArmedBandit_RL

Users that are interested in MultiArmedBandit_RL are comparing it to the libraries listed below

• akhadangi / Multi-armed-Bandits
  In this notebook several classes of multi-armed bandits are implemented. This includes epsilon greedy, UCB, Linear UCB (Contextual bandit…
  ☆88Updated 4 years ago
• sauxpa / neural_exploration
  Study NeuralUCB and regret analysis for contextual bandit with neural decision
  ☆96Updated 3 years ago
• orrivlin / MinimumVertexCover_DRL
  Learning to solve Minimum Vertex Cover using Graph Convolutional Networks and RL
  ☆77Updated 6 years ago
• jimkon / Deep-Reinforcement-Learning-in-Large-Discrete-Action-Spaces
  Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym
  ☆177Updated 7 years ago
• banditml / banditml
  A lightweight contextual bandit & reinforcement learning library designed to be used in production Python services.
  ☆66Updated 4 years ago
• alison-carrera / mabalgs
  Multi-Armed Bandit Algorithms Library (MAB)
  ☆133Updated 2 years ago
• lilianweng / multi-armed-bandit
  Play with the solutions to the multi-armed-bandit problem.
  ☆416Updated last year
• Lunj12 / RL-Bandits-with-Knapsacks
  Dynamic Pricing BwK Problem and Reinforcement Learning
  ☆31Updated 6 years ago
• tuomaso / radial_rl
  Code used in our paper "Robust Deep Reinforment Learning through Adversarial Loss"
  ☆33Updated last year
• PKU-RL / FEN
  FEN Code
  ☆38Updated 5 years ago
• mktal / kddcup-starting-kit
  The submission template for the Learning to Dispatch and Reposition Competition @ KDD2020.
  ☆90Updated 4 years ago
• BartyzalRadek / contextual-bandits-recommender
  Implementing LinUCB and HybridLinUCB in Python.
  ☆49Updated 7 years ago
• Jinjiarui / rl4rs-papers
  A collection of research and survey papers of reforcement learning (RL) based recommender system techniques.
  ☆72Updated 5 years ago
• KaiYan289 / RLpapersnote
  ☆45Updated last week
• sshkhr / Practical_RL
  My solutions to Yandex Practical Reinforcement Learning course in PyTorch and Tensorflow
  ☆54Updated 3 years ago
• ChangyWen / wolpertinger_ddpg
  Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatib…
  ☆65Updated 2 years ago
• YRussac / WeightedLinearBandits
  Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"
  ☆17Updated 5 years ago
• collinprather / SlateQ
  A comparison of Google SlateQ algorithm with traditional Reinforcement Learning algorithms
  ☆37Updated 2 years ago
• appurwar / Contextual-Bandit-News-Article-Recommendation
  Predict and recommend the news articles, user is most likely to click in real time.
  ☆32Updated 7 years ago
• cmusjtuliuyuan / RainBow
  RainBow, Tensorflow
  ☆49Updated 7 years ago
• henryslzhao / RL4Recsys
  paper list in the area of reinforcenment learning for recommendation systems
  ☆24Updated 5 years ago
• andrecianflone / thompson
  Thompson Sampling Tutorial
  ☆54Updated 6 years ago
• uclaml / NeuralUCB
  ☆40Updated 5 years ago
• Zhenye-Na / gcn-spp
  Shortest Path prediction using Graph Convolutional Networks
  ☆27Updated 7 years ago
• higgsfield / np-hard-deep-reinforcement-learning
  pytorch neural combinatorial optimization
  ☆388Updated 7 years ago
• chengqianghuang / exp-anomaly-detector
  The design of a time series anomaly detector through RNN and RL.
  ☆36Updated 7 years ago
• nikhil3456 / Deep-Reinforcement-Learning-in-Large-Discrete-Action-Spaces
  PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, H…
  ☆71Updated 5 years ago
• shaktikshri / adaptiveSystems
  RL CIRL Research
  ☆13Updated 2 years ago
• zoulixin93 / pseudo_dyna_q
  ☆14Updated 5 years ago
• SoluMilken / Contextual-Bandit
  Contextual Bandit Algorithms (+Bandit Algorithms)
  ☆22Updated 5 years ago