gdmarmerola / interactive-intro-rlLinks
Big Data's open seminars: An Interactive Introduction to Reinforcement Learning
☆64Updated 4 years ago
Alternatives and similar repositories for interactive-intro-rl
Users that are interested in interactive-intro-rl are comparing it to the libraries listed below
Sorting:
- Multi-Armed Bandit algorithms applied to the MovieLens 20M dataset☆56Updated 5 years ago
- Bandit algorithms simulations for online learning☆88Updated 5 years ago
- Multi-Armed Bandit Algorithms Library (MAB)☆133Updated 3 years ago
- A lightweight contextual bandit & reinforcement learning library designed to be used in production Python services.☆66Updated 4 years ago
- https://sites.google.com/cornell.edu/recsys2021tutorial☆55Updated 3 years ago
- Library of contextual bandits algorithms☆335Updated last year
- Contextual bandit in python☆114Updated 4 years ago
- More about the exploration-exploitation tradeoff with harder bandits☆24Updated 6 years ago
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆70Updated 5 months ago
- ☆36Updated 6 years ago
- Multi Armed Bandits implementation using the Yahoo! Front Page Today Module User Click Log Dataset☆100Updated 3 years ago
- Simple but Flexible Recommendation Engine in PyTorch☆133Updated 3 years ago
- Stream Data based News Recommendation - Contextual Bandit Approach☆48Updated 7 years ago
- Implementations and examples of common offline policy evaluation methods in Python.☆224Updated 2 years ago
- 🪜 Bayesian Hierarchical Models at Scale☆51Updated 4 years ago
- ☆105Updated 4 years ago
- Some notes on Causal Inference, with examples in python☆154Updated 5 years ago
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Updated 2 years ago
- Online Ranking with Multi-Armed-Bandits☆18Updated 4 years ago
- Uplifted Contextual Multi-Armed Bandit☆19Updated 3 years ago
- Contextual Bandit Algorithms (+Bandit Algorithms)☆22Updated 5 years ago
- Python implementations of contextual bandits algorithms☆805Updated 3 months ago
- ☆50Updated 2 years ago
- RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems☆122Updated 3 years ago
- ☆44Updated 3 years ago
- Implementing LinUCB and HybridLinUCB in Python.☆49Updated 7 years ago
- Thompson Sampling Tutorial☆54Updated 6 years ago
- Resources to learn more about Machine Learning and Artificial Intelligence☆27Updated 4 years ago
- In this notebook several classes of multi-armed bandits are implemented. This includes epsilon greedy, UCB, Linear UCB (Contextual bandit…☆88Updated 4 years ago
- [IJAIT 2021] MABWiser: Contextual Multi-Armed Bandits Library☆260Updated last year