akhadangi / Multi-armed-BanditsLinks
In this notebook several classes of multi-armed bandits are implemented. This includes epsilon greedy, UCB, Linear UCB (Contextual bandits) and Kernel UCB. Some of the well cited papers in this context are also implemented.
☆89Updated 4 years ago
Alternatives and similar repositories for Multi-armed-Bandits
Users that are interested in Multi-armed-Bandits are comparing it to the libraries listed below
Sorting:
- Study NeuralUCB and regret analysis for contextual bandit with neural decision☆99Updated 3 years ago
- ☆43Updated 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.☆68Updated 4 years ago
- Bandit algorithms simulations for online learning☆88Updated 5 years ago
- Play with the solutions to the multi-armed-bandit problem.☆415Updated last year
- Thompson Sampling Tutorial☆54Updated 6 years ago
- Dynamic Pricing BwK Problem and Reinforcement Learning☆31Updated 6 years ago
- Learning to solve Minimum Vertex Cover using Graph Convolutional Networks and RL☆77Updated 6 years ago
- Library of contextual bandits algorithms☆335Updated last year
- Multi Armed Bandits implementation using the Yahoo! Front Page Today Module User Click Log Dataset☆100Updated 4 years ago
- Implementing LinUCB and HybridLinUCB in Python.☆49Updated 7 years ago
- Implementation of various multi-armed bandits algorithms on a 10-arm testbed.☆38Updated 5 years ago
- paper list in the area of reinforcenment learning for recommendation systems☆25Updated 5 years ago
- Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"☆17Updated 5 years ago
- Awesome Deep Reinforcement Learning papers for industrial Search, Recommendation and Advertising.☆216Updated 4 years ago
- Big Data's open seminars: An Interactive Introduction to Reinforcement Learning☆64Updated 4 years ago
- MovieLens recommendation system using reinforcement learning (GYM + PPO)☆50Updated 5 years ago
- 🔬 Research Framework for Single and Multi-Players 🎰 Multi-Arms Bandits (MAB) Algorithms, implementing all the state-of-the-art algorith…☆410Updated last year
- A collection of research and survey papers of reforcement learning (RL) based recommender system techniques.☆72Updated 5 years ago
- Contains Code for Contextual Bandits Decision Tree☆20Updated 6 years ago
- Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym☆178Updated 7 years ago
- Contextual Bandit Algorithms (+Bandit Algorithms)☆22Updated 6 years ago
- Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search☆154Updated last year
- A curated list on papers about combinatorial multi-armed bandit problems.☆17Updated 4 years ago
- Multi-Armed Bandit algorithms applied to the MovieLens 20M dataset☆57Updated 5 years ago
- A pytorch implementation of A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation.☆40Updated 5 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
- Implementation of Optimal Auctions through Deep Learning☆133Updated 5 years ago
- ☆14Updated 5 years ago