license and update tags readme

LICENSE

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+MIT License
+
+Copyright (c) 2023 Théo VINCENT
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

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+---
+license: mit
+license_link: https://huggingface.co/TheoVincent/Atari_i-QN/blob/main/LICENSE
+language:
+- en
+tags:
+  - reinforcement-learning
+  - jax
+  - eval-results
+  - deep-reinforcement-learning
+  - atari
+  - dqn
+  - iqn
+---
+
 # Model parameters training with `i-DQN` and `i-IQN`
-This repository contains the model parameters trained with `i-DQN` on [$57$ Atari games](#list-of-games-for-i-dqn) and trained with `i-IQN` on [$20$ Atari games](#list-of-games-for-i-iqn) 🎮. $5$ seeds are available for each configuration which makes a total of $385$ available models 📈.
+This repository contains the model parameters trained with `i-DQN` on [$56$ Atari games](#list-of-games-for-i-dqn) and trained with `i-IQN` on [$20$ Atari games](#list-of-games-for-i-iqn) 🎮. $5$ seeds are available for each configuration which makes a total of $380$ available models 📈.
 
 The [evaluate.ipynb](./evaluate.ipynb) notebook contains a minimal example to evaluate to model parameters 🧑‍🏫. It uses JAX 🚀.
 
-ps: The set of [$20$ Atari games](#list-of-games-for-i-iqn) is included in the set of [$57$ Atari games](#list-of-games-for-i-dqn).
+ps: The set of [$20$ Atari games](#list-of-games-for-i-iqn) is included in the set of [$56$ Atari games](#list-of-games-for-i-dqn).
 
 ### Model performances
 `i-DQN` and `i-IQN` are improvements made over [`DQN`](https://www.nature.com/articles/nature14236.pdf) and [`IQN`](https://arxiv.org/abs/1806.06923) ✨. Check it out on [arXiv](https://arxiv.org/abs/2403.02107)! | <img src="performances.png" alt="drawing" width="600"/>