Contextual bandits tutorial

Summary: Added CB tutorial to library Reviewed By: BillMatrix Differential Revision: D53359932 fbshipit-source-id: d0b986e3566783f52cef4e084e4692d075897f5c
facebookresearch · Feb 2, 2024 · 2545e5a · 2545e5a
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diff --git a/README.md b/README.md
@@ -74,6 +74,8 @@ Users can replace the environment with any real-world problems.
 ## Tutorials
 1. The first tutorial of Pearl focuses on recommender systems. We derived a small contrived recommender system environment using the MIND dataset (Wu et al. 2020). More details in https://github.com/facebookresearch/Pearl/tree/main/pearl/tutorials/single_item_recommender_system_example/demo.ipynb
 
+2. The second tutorial of Pearl focuses on contextual bandit algorithms and their implementation using Pearl library. We designed a contextual bandit environment based on UCI dataset and tested the performance of neural implementations of SquareCB, LinUCB, and LinTS. More details in https://github.com/facebookresearch/Pearl/tree/main/pearl/tutorials/contextual_bandits/contextual_bandits_tutorial.ipynb
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 More tutorials coming in 2024.
 
 ## Design and Features

diff --git a/pearl/tutorials/contextual_bandits/cb_experiments_tutorial.png b/pearl/tutorials/contextual_bandits/cb_experiments_tutorial.png