RL.ipynb

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    "# Reinforcement Learning"
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   "source": [
    "Select one of the following research papers, read it, then write a critical summary of it in about **600 words**.\n",
    "\n",
    "- [A scalable approach to optimize traffic signal control with federated reinforcement learning](https://www.nature.com/articles/s41598-023-46074-3)\n",
    "- [Faster sorting algorithms discovered using deep reinforcement learning](https://www.nature.com/articles/s41586-023-06004-9)\n",
    "- [Discovering faster matrix multiplication algorithms with reinforcement learning](https://www.nature.com/articles/s41586-022-05172-4)\n",
    "- [Educational Timetabling: Problems, Benchmarks, and State-of-the-Art Results](https://arxiv.org/abs/2201.07525)\n",
    "- [Deep Reinforcement Learning in Surgical Robotics: Enhancing the Automation Level](https://arxiv.org/abs/2309.00773)\n",
    "- [Reinforcement Learning for Battery Management in Dairy Farming](https://arxiv.org/abs/2308.09023)\n",
    "- [Integrating Renewable Energy in Agriculture: A Deep Reinforcement Learning-based Approach](https://arxiv.org/abs/2308.08611)\n",
    "\n",
    "Your summary must capture the key ingredients of Reinforcement Learning mentioned in the paper, e.g. specification of the environment, agent, reward, etc.\n",
    "Do not cover the background material already explained in the lectures."
   ]
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   "source": [
    "**N.B.** If you use any images then put them in the `img` folder, then include using `![](img/image_filename)`."
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   "source": [
    "## Paper summary"
   ]
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    "Title: ............................."
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