Books on the topic 'Reinforcement Learning'
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S, Sutton Richard, ed. Reinforcement learning. Boston: Kluwer Academic Publishers, 1992.
Find full textSutton, Richard S. Reinforcement Learning. Boston, MA: Springer US, 1992.
Find full textWiering, Marco, and Martijn van Otterlo, eds. Reinforcement Learning. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27645-3.
Full textSutton, Richard S., ed. Reinforcement Learning. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-3618-5.
Full textLorenz, Uwe. Reinforcement Learning. Berlin, Heidelberg: Springer Berlin Heidelberg, 2020. http://dx.doi.org/10.1007/978-3-662-61651-2.
Full textNandy, Abhishek, and Manisha Biswas. Reinforcement Learning. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3285-9.
Full textLi, Jinna, Frank L. Lewis, and Jialu Fan. Reinforcement Learning. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-28394-9.
Full textLorenz, Uwe. Reinforcement Learning. Berlin, Heidelberg: Springer Berlin Heidelberg, 2024. http://dx.doi.org/10.1007/978-3-662-68311-8.
Full textMerrick, Kathryn, and Mary Lou Maher. Motivated Reinforcement Learning. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-89187-1.
Full textDong, Hao, Zihan Ding, and Shanghang Zhang, eds. Deep Reinforcement Learning. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4095-0.
Full textSewak, Mohit. Deep Reinforcement Learning. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8285-7.
Full textSzepesvári, Csaba. Algorithms for Reinforcement Learning. Cham: Springer International Publishing, 2010. http://dx.doi.org/10.1007/978-3-031-01551-9.
Full textLorenz, Uwe. Reinforcement Learning From Scratch. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09030-1.
Full textAhlawat, Samit. Reinforcement Learning for Finance. Berkeley, CA: Apress, 2023. http://dx.doi.org/10.1007/978-1-4842-8835-1.
Full textSutton, Richard S. Reinforcement learning: An introduction. Cambridge, Mass: MIT Press, 1998.
Find full textReynolds, Stuart Ian. Reinforcement learning with exploration. Birmingham: University of Birmingham, 2002.
Find full textSzepesvári, Csaba. Algorithms for reinforcement learning. San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA): Morgan & Claypool, 2010.
Find full textRis-Ala, Rafael. Fundamentals of Reinforcement Learning. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-37345-9.
Full textPack, Kaelbling Leslie, ed. Recent advances in reinforcement learning. Boston: Kluwer Academic, 1996.
Find full textReinforcement learning with Python: Master reinforcement learning in Python without being an expert. United States]: [CreateSpace Independent Publishing Platform], 2017.
Find full textSanghi, Nimish. Deep Reinforcement Learning with Python. Berkeley, CA: Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-6809-4.
Full textTaylor, Matthew E. Transfer in Reinforcement Learning Domains. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01882-4.
Full textBeysolow II, Taweh. Applied Reinforcement Learning with Python. Berkeley, CA: Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-5127-0.
Full textSanner, Scott, and Marcus Hutter, eds. Recent Advances in Reinforcement Learning. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29946-9.
Full textWhiteson, Shimon. Adaptive Representations for Reinforcement Learning. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13932-1.
Full textKaelbling, Leslie Pack, ed. Recent Advances in Reinforcement Learning. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/b102434.
Full textMajumder, Abhilash. Deep Reinforcement Learning in Unity. Berkeley, CA: Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-6503-1.
Full textGirgin, Sertan, Manuel Loth, Rémi Munos, Philippe Preux, and Daniil Ryabko, eds. Recent Advances in Reinforcement Learning. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89722-4.
Full textKaelbling, Leslie Pack. Recent advances in reinforcement learning. Boston: Kluwer Academic, 1996.
Find full textWilliams, Ronald. Reinforcement learning: Technical tutorial seminar. Piscataway, NJ: Institute of Electrical and Electronics Engineers, 1989.
Find full textWhiteson, Shimon. Adaptive representations for reinforcement learning. Berlin: Springer Verlag, 2010.
Find full textXiao, Liang, Helin Yang, Weihua Zhuang, and Minghui Min. Reinforcement Learning for Maritime Communications. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-32138-2.
Full textHu, Michael. The Art of Reinforcement Learning. Berkeley, CA: Apress, 2023. http://dx.doi.org/10.1007/978-1-4842-9606-6.
Full textVamvoudakis, Kyriakos G., Yan Wan, Frank L. Lewis, and Derya Cansever, eds. Handbook of Reinforcement Learning and Control. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-60990-0.
Full textFrommberger, Lutz. Qualitative Spatial Abstraction in Reinforcement Learning. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16590-0.
Full textYu, F. Richard, and Ying He. Deep Reinforcement Learning for Wireless Networks. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-10546-4.
Full textLi, Chong, and Meikang Qiu. Reinforcement Learning for Cyber-Physical Systems. Boca Raton, Florida : CRC Press, [2019]: Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9781351006620.
Full textKamalapurkar, Rushikesh, Patrick Walters, Joel Rosenfeld, and Warren Dixon. Reinforcement Learning for Optimal Feedback Control. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-78384-0.
Full textZhang, Yinyan, Shuai Li, and Xuefeng Zhou. Deep Reinforcement Learning with Guaranteed Performance. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-33384-3.
Full textBelousov, Boris, Hany Abdulsamad, Pascal Klink, Simone Parisi, and Jan Peters, eds. Reinforcement Learning Algorithms: Analysis and Applications. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-41188-6.
Full textColomé, Adrià, and Carme Torras. Reinforcement Learning of Bimanual Robot Skills. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-26326-3.
Full textGatti, Christopher. Design of Experiments for Reinforcement Learning. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12197-0.
Full textWeber, Cornelius, Mark Elshaw, and Norbert Michael, eds. Reinforcement Learning. I-Tech Education and Publishing, 2008. http://dx.doi.org/10.5772/54.
Full textSugiyama, Masashi. Statistical Reinforcement Learning. Taylor & Francis Group, 2020.
Find full textDeep Reinforcement Learning. Springer Singapore Pte. Limited, 2022.
Find full textSugiyama, Masashi. Statistical Reinforcement Learning. Chapman and Hall/CRC, 2015. http://dx.doi.org/10.1201/b18188.
Full textGureckis, Todd M., and Bradley C. Love. Computational Reinforcement Learning. Edited by Jerome R. Busemeyer, Zheng Wang, James T. Townsend, and Ami Eidels. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199957996.013.5.
Full textStatistical Reinforcement Learning. CRC Press, 2012.
Find full textBellemare, Marc G., Will Dabney, and Mark Rowland. Distributional Reinforcement Learning. MIT Press, 2023.
Find full textSugiyama, Masashi. Statistical Reinforcement Learning. Taylor & Francis Group, 2015.
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