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sitc/ml5/2_6_0_Intro_RL.ipynb

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"![](images/EscUpmPolit_p.gif \"UPM\")"
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"metadata": {},
"source": [
"# Course Notes for Learning Intelligent Systems"
]
},
{
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"source": [
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"Department of Telematic Engineering Systems, Universidad Politécnica de Madrid, © Carlos A. Iglesias"
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]
},
{
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"# Introduction to Machine Learning V\n",
" \n",
"In this lab session, we are going to get more insight about reinforcemente learning and, in particular, about Q-learning.\n",
"\n",
"# Objectives\n",
"\n",
"The main objectives of this session are:\n",
"* Understand better the algorithm Q-Learning\n",
"* Understand applications of reinforcement learning\n",
"* Experiment with reinforcement learning"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Table of Contents"
]
},
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"source": [
"1. [Q-Learning](2_6_1_Q-Learning_Basic.ipynb)\n",
"1. [Visualization](2_6_1_Q-Learning_Visualization.ipynb)\n",
"1. [Exercises](2_6_1_Q-Learning_Exercises.ipynb)"
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]
},
{
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"source": [
"## Licence\n",
"The notebook is freely licensed under under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/). \n",
"\n",
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"© Carlos A. Iglesias, Universidad Politécnica de Madrid."
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]
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