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Exploring Online Algorithms for Causal Bandits

This repository contains the code for our CS747 course project on online learning algorithms for causal bandits. You can find our project proposal here

Description

This project explores the Causal Bandit problems and various learning algorithms to solve such problem formulation for various graph topologies while minimizing the cummulative regret.

Also we explore a new model-based approcah to the problem which is using epsilon-greedy strategy with maintaining a similar Bayesian Graph as the true graph and updating as per exploration and in exploiting phase, acting greedily to the graph.

Commands

Choose the graphs and algorithm you wanna test in plot.py file.

python3 plot.py

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