Yahoo! news article recommendation system by linUCB
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Feb 1, 2018 - Python
Yahoo! news article recommendation system by linUCB
Bandit algorithms
Python implementation of UCB, EXP3 and Epsilon greedy algorithms
π―REPLICA of "Auction-based combinatorial multi-armed bandit mechanisms with strategic arms"
Personal reimplementation of some ML algorithms for learning purposes
This repository aims at learning most popular MAB and CMAB algorithms and watch how they run. It is interesting for those wishing to start learning these topics.
Python library of bandits and RL agents in different real-world environments
Pricing and advertising strategy for the e-commerce of an airline company, based on Multi-Armed Bandits (MABs) algorithms and Gaussian Processes. Simulations include non-stationary environments.
Non-stationary Bandits and Meta-Learning with a Small Set of Optimal Arms
Multi-Objective Multi-Armed Bandit
The official code repo for HyperAgent for neural bandits and GPT-HyperAgent for content moderation.
DPE code - Code used in "Optimal Algorithms for Multiplayer Multi-Armed Bandits" (AISTATS 2020)
Comparative analysis of Markov decision processes & intelligent agents
Bandit and Evolutionary Algorithms using Python
multi-armed bandit simulation models in python
Reinforcement Learning Starters Package for Multi-arm Bandits Problem
Efficient exploration and exploitation strategies using Epsilon-Greedy, UCB1, and Thompson Sampling β with code, math, and intuition.
This repo contains code for multi-armed bandit algorithm testing and local multiplayer competition.
Randomized Greedy Learning Under Full-bandit Feedback
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