Search Results for - Narrowed by: Artificial intelligence. - Reinforcement learning.SirsiDynix Enterprisehttps://catalog.iyte.edu.tr/client/en_US/default/default/qf$003dSUBJECT$002509Subject$002509Artificial$002bintelligence.$002509Artificial$002bintelligence.$0026qf$003dSUBJECT$002509Subject$002509Reinforcement$002blearning.$002509Reinforcement$002blearning.$0026ps$003d300?2024-06-01T12:58:54ZDeep Reinforcement Learning in Actionent://SD_ILS/0/SD_ILS:23240242024-06-01T12:58:54Z2024-06-01T12:58:54Zby Brown, Brandon, author.<br/><a href="https://learning.oreilly.com/library/view/~/9781617295430">https://learning.oreilly.com/library/view/~/9781617295430</a>
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<a href="https://learning.oreilly.com/library/view/~/9781617295430/?ar">https://learning.oreilly.com/library/view/~/9781617295430/?ar</a><br/>Format: Electronic Resources<br/>Foundations of deep reinforcement learning : theory and practice in Pythonent://SD_ILS/0/SD_ILS:23229302024-06-01T12:58:54Z2024-06-01T12:58:54Zby Graesser, Laura, author.<br/><a href="https://learning.oreilly.com/library/view/~/9780135172490/?ar">https://learning.oreilly.com/library/view/~/9780135172490/?ar</a>
<a href="https://go.oreilly.com/library-access/library/view/-/9780135172490/?ar">https://go.oreilly.com/library-access/library/view/-/9780135172490/?ar</a><br/>Format: Electronic Resources<br/>Hands-on reinforcement learning for games : implementing self-learning agents in games using artificial intelligence techniquesent://SD_ILS/0/SD_ILS:23246632024-06-01T12:58:54Z2024-06-01T12:58:54Zby Lanham, Micheal, author.<br/><a href="https://learning.oreilly.com/library/view/~/9781839214936">https://learning.oreilly.com/library/view/~/9781839214936</a>
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<a href="https://go.oreilly.com/library-access/library/view/-/9781839214936/?ar">https://go.oreilly.com/library-access/library/view/-/9781839214936/?ar</a><br/>Format: Electronic Resources<br/>The Reinforcement Learning Workshop Learn How to Apply Cutting-Edge Reinforcement Learning Algorithms to a Wide Range of Control Problems.ent://SD_ILS/0/SD_ILS:23265052024-06-01T12:58:54Z2024-06-01T12:58:54Zby Palmas, Alessandro.<br/><a href="https://learning.oreilly.com/library/view/~/9781800200456">https://learning.oreilly.com/library/view/~/9781800200456</a>
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<a href="https://go.oreilly.com/library-access/library/view/-/9781800200456/?ar">https://go.oreilly.com/library-access/library/view/-/9781800200456/?ar</a><br/>Format: Electronic Resources<br/>Advancing our understanding of deep reinforcement learning with community-driven insightsent://SD_ILS/0/SD_ILS:23251642024-06-01T12:58:54Z2024-06-01T12:58:54Zby Lange, Danny B., on-screen presenter.<br/><a href="https://go.oreilly.com/library-access/library/view/-/0636920370789/?ar">https://go.oreilly.com/library-access/library/view/-/0636920370789/?ar</a>
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<a href="https://learning.oreilly.com/videos/~/0636920370789">https://learning.oreilly.com/videos/~/0636920370789</a><br/>Format: Electronic Resources<br/>Making reinforcement learning practical for real-world developersent://SD_ILS/0/SD_ILS:23251682024-06-01T12:58:54Z2024-06-01T12:58:54Zby Mallya, Sunil, on-screen presenter.<br/><a href="https://learning.oreilly.com/videos/~/0636920370994/?ar">https://learning.oreilly.com/videos/~/0636920370994/?ar</a>
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<a href="https://learning.oreilly.com/library/view/~/9781789345803">https://learning.oreilly.com/library/view/~/9781789345803</a><br/>Format: Electronic Resources<br/>Reinforcement learning algorithms with Python : learn, understand, and develop smart algorithms for addressing AI challengesent://SD_ILS/0/SD_ILS:23228952024-06-01T12:58:54Z2024-06-01T12:58:54Zby Lonza, Andrea, author.<br/><a href="https://learning.oreilly.com/library/view/~/9781789131116/?ar">https://learning.oreilly.com/library/view/~/9781789131116/?ar</a>
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<a href="https://learning.oreilly.com/library/view/~/9781617295324/?ar">https://learning.oreilly.com/library/view/~/9781617295324/?ar</a><br/>Format: Electronic Resources<br/>TensorFlow reinforcement learning quick start guide : get up and running with training and deploying intelligent, self-learning agents using Pythonent://SD_ILS/0/SD_ILS:23198292024-06-01T12:58:54Z2024-06-01T12:58:54Zby Balakrishnan, Kaushik, author.<br/><a href="https://go.oreilly.com/library-access/library/view/-/9781789533583/?ar">https://go.oreilly.com/library-access/library/view/-/9781789533583/?ar</a>
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<a href="https://learning.oreilly.com/library/view/~/9781789533583/?ar">https://learning.oreilly.com/library/view/~/9781789533583/?ar</a><br/>Format: Electronic Resources<br/>Reinforcement learning in motionent://SD_ILS/0/SD_ILS:23190352024-06-01T12:58:54Z2024-06-01T12:58:54Zby Tabor, Phil, speaker.<br/><a href="https://learning.oreilly.com/videos/~/10000MNLV201807/?ar">https://learning.oreilly.com/videos/~/10000MNLV201807/?ar</a>
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<a href="https://go.oreilly.com/library-access/library/view/-/10000MNLV201807/?ar">https://go.oreilly.com/library-access/library/view/-/10000MNLV201807/?ar</a><br/>Format: Electronic Resources<br/>Deep reinforcement learning hands-on : apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and moreent://SD_ILS/0/SD_ILS:20891642024-06-01T12:58:54Z2024-06-01T12:58:54Zby Lapan, Maxim, author.<br/>Format: Books<br/>TensorFlow pour le Deep learningent://SD_ILS/0/SD_ILS:23261322024-06-01T12:58:54Z2024-06-01T12:58:54Zby Ramsundar, Bharath.<br/><a href="https://learning.oreilly.com/library/view/~/9782412041161/?ar">https://learning.oreilly.com/library/view/~/9782412041161/?ar</a>
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<a href="https://learning.oreilly.com/library/view/~/9782412041161">https://learning.oreilly.com/library/view/~/9782412041161</a><br/>Format: Electronic Resources<br/>Deep reinforcement learning and GANS Livelessonsent://SD_ILS/0/SD_ILS:23158942024-06-01T12:58:54Z2024-06-01T12:58:54Zby Krohn, Jon, on-screen presenter.<br/><a href="https://learning.oreilly.com/videos/~/9780135171233/?ar">https://learning.oreilly.com/videos/~/9780135171233/?ar</a>
<a href="https://go.oreilly.com/library-access/library/view/-/9780135171233/?ar">https://go.oreilly.com/library-access/library/view/-/9780135171233/?ar</a><br/>Format: Electronic Resources<br/>TensorFlow for deep learning : from linear regression to reinforcement learningent://SD_ILS/0/SD_ILS:23162952024-06-01T12:58:54Z2024-06-01T12:58:54Zby Ramsundar, Bharath, author.<br/><a href="https://go.oreilly.com/library-access/library/view/-/9781491980446/?ar">https://go.oreilly.com/library-access/library/view/-/9781491980446/?ar</a>
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<a href="https://go.oreilly.com/library-access/library/view/-/9781788836579/?ar">https://go.oreilly.com/library-access/library/view/-/9781788836579/?ar</a><br/>Format: Electronic Resources<br/>Deep reinforcement learning hands-on : apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and moreent://SD_ILS/0/SD_ILS:23170652024-06-01T12:58:54Z2024-06-01T12:58:54Zby Lapan, Maxim, author.<br/><a href="https://go.oreilly.com/library-access/library/view/-/9781788834247/?ar">https://go.oreilly.com/library-access/library/view/-/9781788834247/?ar</a>
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<a href="https://go.oreilly.com/library-access/library/view/-/9781484232859/?ar">https://go.oreilly.com/library-access/library/view/-/9781484232859/?ar</a><br/>Format: Electronic Resources<br/>Reinforcement learning with TensorFlow : a beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gyment://SD_ILS/0/SD_ILS:23165312024-06-01T12:58:54Z2024-06-01T12:58:54Zby Dutta, Sayon, author.<br/><a href="https://learning.oreilly.com/library/view/~/9781788835725">https://learning.oreilly.com/library/view/~/9781788835725</a>
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<a href="https://learning.oreilly.com/videos/~/8882021010419">https://learning.oreilly.com/videos/~/8882021010419</a><br/>Format: Video recording<br/>Chu tan shen du xue xi : shi yong TensorFlow = TensorFlow for deep learning : from linear regression to reinforcement learningent://SD_ILS/0/SD_ILS:23323162024-06-01T12:58:54Z2024-06-01T12:58:54Zby Ramsundar, Bharath, author.<br/><a href="https://go.oreilly.com/library-access/library/view/-/9789864769056/?ar">https://go.oreilly.com/library-access/library/view/-/9789864769056/?ar</a>
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