Alternatives and similar repositories for multi-armed-bandit:

Users that are interested in multi-armed-bandit are comparing it to the libraries listed below

• david-cortes / contextualbandits
  Python implementations of contextual bandits algorithms
  ☆766Updated 2 months ago
• HCDM / BanditLib
  Library of contextual bandits algorithms
  ☆334Updated last year
• bgalbraith / bandits
  Python library for Multi-Armed Bandits
  ☆743Updated 5 years ago
• alison-carrera / mabalgs
  Multi-Armed Bandit Algorithms Library (MAB)
  ☆132Updated 2 years ago
• guyulongcs / Awesome-Deep-Reinforcement-Learning-Papers-for-Search-Recommendation-Advertising
  Awesome Deep Reinforcement Learning papers for industrial Search, Recommendation and Advertising.
  ☆203Updated 3 years ago
• sfujim / BCQ
  Author's PyTorch implementation of BCQ for continuous and discrete actions
  ☆614Updated 3 years ago
• SMPyBandits / SMPyBandits
  🔬 Research Framework for Single and Multi-Players 🎰 Multi-Arms Bandits (MAB) Algorithms, implementing all the state-of-the-art algorith…
  ☆398Updated 10 months ago
• jimkon / Deep-Reinforcement-Learning-in-Large-Discrete-Action-Spaces
  Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym
  ☆175Updated 7 years ago
• sauxpa / neural_exploration
  Study NeuralUCB and regret analysis for contextual bandit with neural decision
  ☆92Updated 3 years ago
• iosband / ts_tutorial
  ☆358Updated 4 years ago
• kfoofw / bandit_simulations
  Bandit algorithms simulations for online learning
  ☆83Updated 4 years ago
• ntucllab / striatum
  Contextual bandit in python
  ☆110Updated 3 years ago
• criteo-research / reco-gym
  Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising
  ☆472Updated 3 years ago
• google-research / batch_rl
  Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games
  ☆546Updated last year
• aviralkumar2907 / CQL
  Code for conservative Q-learning
  ☆426Updated 3 years ago
• fuxiAIlab / RL4RS
  A Real-World Benchmark for Reinforcement Learning based Recommender System
  ☆228Updated last year
• kulinshah98 / Multi-Armed-Bandit-Algorithms
  Python implementation of UCB, EXP3 and Epsilon greedy algorithms
  ☆28Updated 6 years ago
• akhadangi / Multi-armed-Bandits
  In this notebook several classes of multi-armed bandits are implemented. This includes epsilon greedy, UCB, Linear UCB (Contextual bandit…
  ☆84Updated 4 years ago
• allenday / contextual-bandit
  working example of a contextual multi-armed bandit
  ☆55Updated 5 years ago
• SahanaRamnath / MultiArmedBandit_RL
  Implementation of various multi-armed bandits algorithms on a 10-arm testbed.
  ☆38Updated 5 years ago
• eyounx / VirtualTaobao
  Virtual-Taobao simulators with OpenAI Gym interface
  ☆526Updated 5 years ago
• awarebayes / RecNN
  Reinforced Recommendation toolkit built around pytorch 1.7
  ☆581Updated 4 years ago
• banditml / banditml
  A lightweight contextual bandit & reinforcement learning library designed to be used in production Python services.
  ☆66Updated 3 years ago
• ikostrikov / pytorch-trpo
  PyTorch implementation of Trust Region Policy Optimization
  ☆437Updated 6 years ago
• seungjaeryanlee / awesome-rl-competitions
  List of competitions related to Reinforcement Learning
  ☆351Updated last year
• jannerm / mbpo
  Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"
  ☆487Updated 2 years ago
• wangbx66 / contextual-bandit
  Contextual Combinatorial Cascading Bandits
  ☆10Updated 8 years ago
• han-cai / rlb-dp
  Real-Time Bidding by Reinforcement Learning in Display Advertising
  ☆179Updated 4 years ago
• google-research / recsim
  A Configurable Recommender Systems Simulation Platform
  ☆752Updated 3 years ago
• antonismand / Personalized-News-Recommendation
  Multi Armed Bandits implementation using the Yahoo! Front Page Today Module User Click Log Dataset
  ☆101Updated 3 years ago