andrecianflone / thompson
Thompson Sampling Tutorial
☆51Updated 6 years ago
Alternatives and similar repositories for thompson:
Users that are interested in thompson are comparing it to the libraries listed below
- In this notebook several classes of multi-armed bandits are implemented. This includes epsilon greedy, UCB, Linear UCB (Contextual bandit…☆82Updated 4 years ago
- Study NeuralUCB and regret analysis for contextual bandit with neural decision☆91Updated 3 years ago
- ☆43Updated 2 years ago
- Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"☆17Updated 5 years ago
- paper list in the area of reinforcenment learning for recommendation systems☆24Updated 4 years ago
- ☆85Updated 6 months ago
- Materials for the Practical Sessions of the Reinforcement Learning Summer School 2019: Bandits, RL & Deep RL (PyTorch).☆89Updated 5 years ago
- Feature selection for maximizing expected cumulative reward☆29Updated 7 years ago
- Offline Reinforcement Learning Reading Group☆25Updated 2 years ago
- Tabular Reinforcement Learning Algorithms with NumPy & Visualizations with Seaborn☆18Updated 6 years ago
- Bandit algorithms simulations for online learning☆83Updated 4 years ago
- An advanced course on reinforcement learning offered at Columbia University IEOR in Spring 2018☆62Updated 4 years ago
- An official JAX-based code for our NeuraLCB paper, "Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization", ICLR…☆13Updated 2 years ago
- Deconfounding Reinforcement Learning in Observational Settings☆49Updated 5 years ago
- References at the Intersection of Causality and Reinforcement Learning☆88Updated 4 years ago
- PyTorch - Implicit Quantile Networks - Quantile Regression - C51☆23Updated 5 years ago
- A repository for code of reinforcement learning algorithms with PyTorch☆30Updated 3 years ago
- PyTorch implementation of Probabilistic Network Ensembles on toy problems☆23Updated 2 years ago
- A lightweight contextual bandit & reinforcement learning library designed to be used in production Python services.☆66Updated 3 years ago
- A library of probabilistic model based RL algorithms in pytorch☆108Updated 3 years ago
- Maximum Causal Entropy Inverse Reinforcement Learning☆46Updated 6 years ago
- ☆29Updated 4 years ago
- Direct Gibbs sampling for DPMM using python.☆16Updated 7 years ago
- Code for "Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models" (ICML 2019)☆42Updated 4 years ago
- The Differentiable Cross-Entropy Method☆125Updated 4 years ago
- Efficient Exploration through Bayesian Deep Q-Networks☆37Updated 7 years ago
- A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning☆94Updated 4 years ago
- Public repository for the work on bandit problems☆23Updated 10 months ago
- Multi-Armed Bandit Algorithms Library (MAB)☆130Updated 2 years ago
- Non stationary bandit for experiments with Reinforcement Learning☆34Updated 7 years ago