SahanaRamnath / MultiArmedBandit_RL

Related projects: ⓘ

• akhadangi / Multi-armed-Bandits
  In this notebook several classes of multi-armed bandits are implemented. This includes epsilon greedy, UCB, Linear UCB (Contextual bandit…
  ☆76Updated 3 years ago
• gdmarmerola / advanced-bandit-problems
  More about the exploration-exploitation tradeoff with harder bandits
  ☆23Updated 5 years ago
• Lunj12 / RL-Bandits-with-Knapsacks
  Dynamic Pricing BwK Problem and Reinforcement Learning
  ☆28Updated 5 years ago
• banditml / banditml
  A lightweight contextual bandit & reinforcement learning library designed to be used in production Python services.
  ☆65Updated 3 years ago
• kfoofw / bandit_simulations
  Bandit algorithms simulations for online learning
  ☆78Updated 4 years ago
• sshkhr / Practical_RL
  My solutions to Yandex Practical Reinforcement Learning course in PyTorch and Tensorflow
  ☆54Updated 2 years ago
• BartyzalRadek / contextual-bandits-recommender
  Implementing LinUCB and HybridLinUCB in Python.
  ☆43Updated 6 years ago
• henryslzhao / RL4Recsys
  paper list in the area of reinforcenment learning for recommendation systems
  ☆24Updated 4 years ago
• abhi1345 / deep-q-rank
  A deep reinforcement learning approach to search engine ranking (PyTorch). Final Project for UC Berkeley's CS 285: Deep Reinforcement Lea…
  ☆25Updated 4 months ago
• andrecianflone / thompson
  Thompson Sampling Tutorial
  ☆49Updated 5 years ago
• cmusjtuliuyuan / RainBow
  RainBow, Tensorflow
  ☆49Updated 6 years ago
• orrivlin / MinimumVertexCover_DRL
  Learning to solve Minimum Vertex Cover using Graph Convolutional Networks and RL
  ☆74Updated 5 years ago
• jldbc / bandits
  Multi-Armed Bandit algorithms applied to the MovieLens 20M dataset
  ☆55Updated 4 years ago
• tjuHaoXiaotian / ICML-2020-MSBCB
  Code of ICML-2020 paper Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising
  ☆27Updated 4 years ago
• Jinjiarui / rl4rs-papers
  A collection of research and survey papers of reforcement learning (RL) based recommender system techniques.
  ☆68Updated 4 years ago
• iankurgarg / Reinforcement-Learning-Feature-Selection
  Feature selection for maximizing expected cumulative reward
  ☆29Updated 6 years ago
• collinprather / SlateQ
  A comparison of Google SlateQ algorithm with traditional Reinforcement Learning algorithms
  ☆33Updated last year
• antoine-hochart / bandit_algo_evaluation
  Offline evaluation of multi-armed bandit algorithms
  ☆21Updated 3 years ago
• buomsoo-kim / Tabular-RL-with-Python
  Tabular Reinforcement Learning Algorithms with NumPy & Visualizations with Seaborn
  ☆18Updated 6 years ago
• ianxxiao / reinforcement_learning_project
  This repo is for a reinforcement learning project using citiBike data
  ☆28Updated 5 years ago
• sauxpa / neural_exploration
  Study NeuralUCB and regret analysis for contextual bandit with neural decision
  ☆90Updated 2 years ago
• alison-carrera / mabalgs
  Multi-Armed Bandit Algorithms Library (MAB)
  ☆129Updated 2 years ago
• appurwar / Contextual-Bandit-News-Article-Recommendation
  Predict and recommend the news articles, user is most likely to click in real time.
  ☆30Updated 6 years ago
• Zhenye-Na / gcn-spp
  Shortest Path prediction using Graph Convolutional Networks
  ☆26Updated 6 years ago
• SoluMilken / Contextual-Bandit
  Contextual Bandit Algorithms (+Bandit Algorithms)
  ☆22Updated 4 years ago
• zoulixin93 / pseudo_dyna_q
  ☆14Updated 4 years ago
• PKU-RL / FEN
  FEN Code
  ☆36Updated 4 years ago
• annieyan / Bandits-using-UCB-algorithm
  Thompson Sampling for Bandits using UCB policy
  ☆10Updated 7 years ago
• louaaron / GAN-Q-Learning
  Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874
  ☆46Updated 3 years ago
• mktal / kddcup-starting-kit
  The submission template for the Learning to Dispatch and Reposition Competition @ KDD2020.
  ☆84Updated 3 years ago