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resources.md

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+---
+layout: home
+title: Resources
+nav_order: 4
+---
+
+<h1>Resources</h1>
+<hr style="margin: 1em 0">
+
+<h3>Textbooks</h3>
+<p>There are no required textbooks for this course, but the following are good references:</p>
+<ul>
+<li><i>Planning with Markov Decision Processes: An AI Perspective.</i> Mausam & Andrey Kolobov (Morgan & Claypool, 2012).</li>
+<li><i>Algorithms for Decision Making.</i> Mykel J. Kochenderfer (MIT Press, 2022).</li>
+<li><i>Planning Algorithms.</i> Steven M. LaValle (Cambridge University Press, 2006).</li>
+<li><i>Artificial Intelligence: A Modern Approach (AIMA).</i> Stuart Russell & Peter Norvig (Fourth Edition, Pearson, 2020).</li>
+<li><i>Probabilistic Machine Learning: An Introduction.</i> Kevin Murphy (MIT Press, 2022).</li>
+<li><i>Pattern Recognition and Machine Learning.</i> Christopher Bishop (Springer, 2006).</li>
+<li><i>Reinforcement Learning: An Introduction.</i> Richard Sutton & Andrew Barto (Second Edition, MIT Press, 2018).</li>
+<li><i>Machine Learning Methods for Planning.</i> Steven Minton (Morgan Kaufmann, 2000).</li>
+</ul>