This repository contains all of the Reinforcement Learning-related projects I've worked on. The projects are part of the graduate course at the University of Tehran.

Multi-Objective Multi-Armed Bandit

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

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

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

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

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

This repository has been created just for warm-up in reinforcement learning and there are my simulation files of UT-RL course HWs.

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