vismaychuriwala/Optimal-Strategies-in-Multi-Armed-Bandits

This repository contains several implementations of multi-armed bandit (MAB) agents applied to a simulated cricket match where an agent selects among different strategies with the goal of maximizing runs while minimizing the risk of getting out.

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Taabannn/intro-rl

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pacificrm/Simulating-the-Multi-Armed-Bandit

Simulating-the-Multi-Armed-Bandit with 10 arms using algorithms like Greedy, Epsilon-Greedy and UCB.

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Asterinos1/RL_n_Dynamic_Optimization

This rep contains the projects made for the course "Reinforcement Learning and Dynamic Optimization" at TUC (2024).

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Shlok1810/Ad-Selection-Algorithm-using-Machine-learning

Which Advertisement is the best fit for our business we can directly get through UCB Algorithm

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sahandkhoshdel99/Reinforcement-Learning-

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rachelsng/Multiarmed-Bandits-Website-Tuning

[Python] 4 multi-armed bandit algorithms are implemented to determine which one can most effectively determine the best website configuration that maximise signups.

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alxndrTL/RL-essais-cliniques

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amirbalef/PS_MOMAB

Multi-Objective Multi-Armed Bandit

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rmitsuboshi/bandit

A small collection of Bandit algorithms, written in Rust 🦀.

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theheisenberg10/Marketing-Mix-for-Leading-Hospitality-Company

Sending personalized marketing offers (called free play in a casino setting) to players by observing data on their gaming behavior and demographic information

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Anjali001/Reinforcement-Learning

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