update readme

README.md

@@ -1,6 +1,6 @@
 # Policy Entropy of RL Agents
 
-This repository contains the source code for the numerical experiments presented in the paper "Analyzing Policy Entropy of Reinforcement Learning Agents for Personalization Tasks".
+This repository contains the source code for the numerical experiments presented in the paper "[Analyzing Policy Entropy of Reinforcement Learning Agents for Personalization Tasks](https://arxiv.org/abs/2211.11869)".
 
 ## How to Use
 
@@ -15,6 +15,11 @@ Optionally, a custom experiment can be set up by changing or adding new configur
 ### Load Experiments
 All previously performed experiments are stored in `./data/` directory and can be recreated by loading via `python -m run_experiment -l exp_name`, where `exp_name` is the name of the experiment as it is saved in `./data/`.
 
+### Results
+![Reward values](https://github.com/sukiboo/policy_entropy/assets/38059493/9ced0db4-ca67-4319-b464-1ad04aac6a70)
+![Entropy values](https://github.com/sukiboo/policy_entropy/assets/38059493/4a90feda-73dd-4809-89bc-772e9c4448de)
+
+
 
 ## File Structure
 * `run_experiment.py` --- set up and run the experiment