sauxpa / neural_exploration
Study NeuralUCB and regret analysis for contextual bandit with neural decision
☆93Updated 3 years ago
Alternatives and similar repositories for neural_exploration:
Users that are interested in neural_exploration are comparing it to the libraries listed below
- ☆32Updated 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
- In this notebook several classes of multi-armed bandits are implemented. This includes epsilon greedy, UCB, Linear UCB (Contextual bandit…☆85Updated 4 years ago
- A lightweight contextual bandit & reinforcement learning library designed to be used in production Python services.☆66Updated 3 years ago
- paper list in the area of reinforcenment learning for recommendation systems☆24Updated 4 years ago
- MovieLens recommendation system using reinforcement learning (GYM + PPO)☆49Updated 4 years ago
- Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"☆17Updated 5 years ago
- Bandit algorithms simulations for online learning☆85Updated 4 years ago
- "Hierarchical Reinforcement Learning for Integrated Recommendation" (AAAI 2021) https://ojs.aaai.org/index.php/AAAI/article/view/16580☆56Updated 3 years ago
- An official JAX-based code for our NeuraLCB paper, "Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization", ICLR…☆14Updated 3 years ago
- A pytorch implementation of A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation.☆40Updated 5 years ago
- Thompson Sampling Tutorial☆53Updated 6 years ago
- Awesome Deep Reinforcement Learning papers for industrial Search, Recommendation and Advertising.☆205Updated 3 years ago
- A toolkit of Reinforcement Learning based Recommendation (RL4Rec)☆23Updated 3 years ago
- A Real-World Benchmark for Reinforcement Learning based Recommender System☆229Updated last year
- OPE Tools based on Empirical Study of Off Policy Policy Estimation paper.☆61Updated 2 years ago
- Multi Armed Bandits implementation using the Yahoo! Front Page Today Module User Click Log Dataset☆99Updated 3 years ago
- python implementation of the TPGR☆39Updated 6 years ago
- ☆14Updated 4 years ago
- A collection of research and survey papers of reforcement learning (RL) based recommender system techniques.☆72Updated 5 years ago
- Library of contextual bandits algorithms☆334Updated last year
- Tensorflow implementation for "Generative Adversarial User Model forReinforcement Learning Based Recommendation System"☆129Updated 5 years ago
- Python implementation of UCB, EXP3 and Epsilon greedy algorithms☆28Updated 6 years ago
- ☆85Updated 9 months ago
- A TensorFlow implementation of SOFA, the Simulator for OFfline LeArning and evaluation.☆21Updated 4 years ago
- ☆16Updated last year
- Code for "A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising" WSDM 2022☆22Updated 3 years ago
- Multi-Armed Bandit Algorithms Library (MAB)☆133Updated 2 years ago
- The implemetation of Deep Reinforcement Learning based Recommender System from the paper Deep Reinforcement Learning based Recommendation…☆113Updated last year
- Implementing LinUCB and HybridLinUCB in Python.☆48Updated 6 years ago