andrecianflone / thompson
Thompson Sampling Tutorial
☆53Updated 6 years ago
Alternatives and similar repositories for thompson:
Users that are interested in thompson are comparing it to the libraries listed below
- Study NeuralUCB and regret analysis for contextual bandit with neural decision☆94Updated 3 years ago
- paper list in the area of reinforcenment learning for recommendation systems☆24Updated 4 years ago
- Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"☆17Updated 5 years ago
- In this notebook several classes of multi-armed bandits are implemented. This includes epsilon greedy, UCB, Linear UCB (Contextual bandit…☆85Updated 4 years ago
- An official JAX-based code for our NeuraLCB paper, "Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization", ICLR…☆14Updated 3 years ago
- Bandit algorithms simulations for online learning☆85Updated 4 years ago
- Materials for the Practical Sessions of the Reinforcement Learning Summer School 2019: Bandits, RL & Deep RL (PyTorch).☆88Updated 5 years ago
- Feature selection for maximizing expected cumulative reward☆30Updated 7 years ago
- Dynamic Pricing BwK Problem and Reinforcement Learning☆31Updated 6 years ago
- A deep reinforcement learning approach to search engine ranking (PyTorch). Final Project for UC Berkeley's CS 285: Deep Reinforcement Lea…☆27Updated last year
- Thompson Sampling for Bandits using UCB policy☆10Updated 7 years ago
- Contextual bandit in python☆112Updated 3 years ago
- Efficient Exploration through Bayesian Deep Q-Networks☆37Updated 7 years ago
- Multi-Armed Bandit algorithms applied to the MovieLens 20M dataset☆56Updated 4 years ago
- Deconfounding Reinforcement Learning in Observational Settings☆51Updated 6 years ago
- Non stationary bandit for experiments with Reinforcement Learning☆34Updated 8 years ago
- ☆32Updated 4 years ago
- ☆26Updated 4 years ago
- A collection of the pytorch implementation of neural bandit algorithm includes neuralUCB(Neural Contextual Bandits with UCB-based Explora…☆14Updated 2 years ago
- A lightweight contextual bandit & reinforcement learning library designed to be used in production Python services.☆66Updated 3 years ago
- Experiments on a discrete mean field game model of population dynamics with reinforcement learning☆35Updated last year
- PyTorch implementation of Probabilistic Network Ensembles on toy problems☆23Updated 2 years ago
- ☆43Updated 3 years ago
- Maximum Causal Entropy Inverse Reinforcement Learning☆47Updated 6 years ago
- Contains Code for Contextual Bandits Decision Tree☆20Updated 5 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆55Updated last month
- OPE Tools based on Empirical Study of Off Policy Policy Estimation paper.☆61Updated 2 years ago
- Simple implementation of GP-UCB algorithm.☆52Updated 8 years ago
- ☆30Updated 4 years ago
- Contextual Bandit Algorithms (+Bandit Algorithms)☆22Updated 5 years ago