Alternatives and similar repositories for thompson

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

• sauxpa / neural_exploration
  Study NeuralUCB and regret analysis for contextual bandit with neural decision
  ☆99Updated 3 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…
  ☆89Updated 4 years ago
• causal-rl-anonymous / causal-rl
  ☆48Updated 3 years ago
• yfletberliac / rlss-2019
  Materials for the Practical Sessions of the Reinforcement Learning Summer School 2019: Bandits, RL & Deep RL (PyTorch).
  ☆90Updated 6 years ago
• kfoofw / bandit_simulations
  Bandit algorithms simulations for online learning
  ☆88Updated 5 years ago
• debmandal / RL-Causality
  References at the Intersection of Causality and Reinforcement Learning
  ☆89Updated 5 years ago
• henryslzhao / RL4Recsys
  paper list in the area of reinforcenment learning for recommendation systems
  ☆25Updated 5 years ago
• CausalRL / DRL
  Deconfounding Reinforcement Learning in Observational Settings
  ☆51Updated 6 years ago
• clinicalml / gumbel-max-scm
  Code for "Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models" (ICML 2019)
  ☆45Updated 5 years ago
• archsyscall / DistRL-TensorFlow2
  🐳 Implementation of various Distributional Reinforcement Learning Algorithms using TensorFlow2.
  ☆69Updated 4 years ago
• YRussac / WeightedLinearBandits
  Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"
  ☆17Updated 5 years ago
• iankurgarg / Reinforcement-Learning-Feature-Selection
  Feature selection for maximizing expected cumulative reward
  ☆30Updated 7 years ago
• kazizzad / BDQN-MxNet-Gluon
  Efficient Exploration through Bayesian Deep Q-Networks
  ☆37Updated 7 years ago
• saisrivatsan / deep-opt-auctions
  Implementation of Optimal Auctions through Deep Learning
  ☆133Updated 5 years ago
• johannah / bootstrap_dqn
  Implementation of Bootstrap DQN and Randomized Prior Functions on ALE
  ☆55Updated 7 months ago
• uclaml / NeuralUCB
  ☆43Updated 5 years ago
• krasheninnikov / max-causal-ent-irl
  Maximum Causal Entropy Inverse Reinforcement Learning
  ☆48Updated 6 years ago
• annieyan / Bandits-using-UCB-algorithm
  Thompson Sampling for Bandits using UCB policy
  ☆10Updated 8 years ago
• dongminlee94 / Reinforcement-Learning-Code
  A repository for code of reinforcement learning algorithms with PyTorch
  ☆30Updated 4 years ago
• intel / cerl
  ☆71Updated 2 years ago
• banditml / banditml
  A lightweight contextual bandit & reinforcement learning library designed to be used in production Python services.
  ☆69Updated 4 years ago
• apourchot / CEM-RL
  Combining Evolutionary Algorithms and deep RL in various ways
  ☆106Updated 4 years ago
• Feryal / rl_mlss_2020
  ☆53Updated 5 years ago
• mktal / kddcup-starting-kit
  The submission template for the Learning to Dispatch and Reposition Competition @ KDD2020.
  ☆91Updated 4 years ago
• pokaxpoka / sunrise
  SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
  ☆128Updated 4 years ago
• ntucllab / striatum
  Contextual bandit in python
  ☆114Updated 4 years ago
• google-research / deep_ope
  ☆88Updated last year
• siemens / industrialbenchmark
  Industrial Benchmark
  ☆136Updated 2 years ago
• rlberry-py / rlberry
  An easy-to-use reinforcement learning library for research and education.
  ☆173Updated 3 weeks ago
• johannesnauta / pytorch-pne
  PyTorch implementation of Probabilistic Network Ensembles on toy problems
  ☆23Updated 2 years ago