"Optimal Adaptive Control and Differential Games by Reinforcement Learning Principles"

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Book	Author(s)	Year	Publisher
Optimal Adaptive Control and Differential Games by Reinforcement Learning Principles	Draguna Vrabie, Kyriakos G. Vamvoudakis, Frank. L Lewis	2013	The Institution of Engineering and Technology
Reinforcement learning and optimal control /	Bertsekas, Dimitri P.,		Athena Scientific
Reinforcement learning and Optimal Control - Draft version	Dmitri Bertsekas	2019	Athena Scientific
Adaptive Representations for Reinforcement Learning	Shimon Whiteson	2011	Springer Berlin Heidelberg
Optimal, Predictive and Adaptive Control	Edoardo Mosca
Optimal, predictive, and adaptive control /	Mosca, Edoardo.	1995.	Prentice Hall,
Optimal Adaptive Control Systems	David Sworder	1966	Elsevier
Optimal adaptive control systems	David Sworder	1966	Academic Press
Reinforcement Learning for Optimal Feedback Control: A Lyapunov-Based Approach	Rushikesh Kamalapurkar; Patrick Walters; Joel Rosenfeld; Warren Dixon	1st ed. 2018	Springer International Publishing
Learning to Play: Reinforcement Learning and Games	Aske Plaat	1st ed. 2020	Springer International Publishing
Control Systems and Reinforcement Learning	Sean Meyn	2022-06	Cambridge University Press
Optimal Control and Differential Games: Essays in Honor of Steffen Jørgensen	Georges Zaccour	2002	Springer US
On a certain penalty method in optimal control and differential games	Ronald J. Stern	1972	College of Commerce and Business Administration, University of Illinois at Urbana-Champaign
Handbook of Reinforcement Learning and Control	Kyriakos G. Vamvoudakis; Yan Wan; Frank L. Lewis; Derya Cansever	1st ed. 2021	Springer International Publishing
Optimal control of differential equations /	Pavel, N. H.; Corduneanu, C.	1994.	M. Dekker,
Stochastic Linear-Quadratic Optimal Control Theory: Differential Games and Mean-Field Problems	Jingrui Sun; Jiongmin Yong	1st ed. 2020	Springer International Publishing
Self-Learning Optimal Control of Nonlinear Systems: Adaptive Dynamic Programming Approach	Qinglai Wei; Ruizhuo Song; Benkai Li; Xiaofeng Lin	1st ed. 2018	Springer Nature Singapore
Learning-Based Adaptive Control	Mouhacine Benosman	2017	Butterworth-Heinemann
Optimal Control of Differential and Functional Equations	J. Warga	1972	Academic Press
Optimal control of systems governed by delayed-differential equations	Joseph G. Hyde	1972	Naval Postgraduate School
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Optimal Adaptive Control and Differential Games by Reinforcement Learning Principles		Optimal Adaptive Control and Differential Games by Reinforcement Learning Principles	Draguna Vrabie, Kyriakos G. Vamvoudakis, Frank. L Lewis	2013	The Institution of Engineering and Technology
REINFORCEMENT LEARNING AND OPTIMAL ADAPTIVE CONTROL		Optimal Control, 3rd Edition	Frank L. Lewis	2012	John Wiley & Sons
Reinforcement Learning Informed by Optimal Control	Magnus Önnheim; Pontus Andersson; Emil Gustavsson; Mats Jirstrand	Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions: 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings	Igor V. Tetko; Věra Kůrková; Pavel Karpov; Fabian Theis	1st ed. 2019	Springer International Publishing
Reinforcement Learning and Adaptive Control	Girish Chowdhary; Girish Joshi; Aaron Havens	Encyclopedia of Systems and Control	John Baillieul; Tariq Samad	2nd ed. 2021	Springer International Publishing
Reinforcement Learning and Adaptive Control	Girish Chowdhary; Girish Joshi; Aaron Havens	Encyclopedia of Systems and Control	John Baillieul; Tariq Samad	0th ed. 2020	Springer London
1 Introduction to optimal control, adaptive control and reinforcement learning		Optimal Adaptive Control and Differential Games by Reinforcement Learning Principles	Draguna Vrabie, Kyriakos G. Vamvoudakis, Frank. L Lewis	2013	The Institution of Engineering and Technology
Online Adaptive Optimal Control Based on Reinforcement Learning	Draguna Vrabie; Frank Lewis	Optimization and Optimal Control: Theory and Applications	Altannar Chinchuluun; Panos M. Pardalos; Rentsen Enkhbat; Ider Tseveendorj	2010	Springer New York
Optimal Control Algorithms and Differential Games		Automatic Control 1990	U. Jaaksoo	1991	Pergamon
Adaptive Control by Neural Networks and Reinforcement Learning		Control of Traffic Systems in Buildings	Sandor A. Markon; Hajime Kita; Hiroshi Kise; Thomas Bartz-Beielstein	2006	Springer London
Part I: Optimal adaptive control using reinforcement learning structures		Optimal Adaptive Control and Differential Games by Reinforcement Learning Principles	Draguna Vrabie, Kyriakos G. Vamvoudakis, Frank. L Lewis	2013	The Institution of Engineering and Technology
Periodicity in optimal control and differential games	Emilio O. Roxin; Lynnell E. Stern	System Modeling and Optimization: Proceedings of the 10th IFIP Conference New York City, USA, August 31–September 4, 1981	R.F. Drenick; F. Kozin	1982	Springer Berlin Heidelberg
Risk sensitive optimal control and differential games	Wendell H. Fleming; William M. McEneaney	Stochastic Theory and Adaptive Control: Proceedings of a Workshop held in Lawrence, Kansas, September 26 – 28, 1991	T. E. Duncan; B. Pasik-Duncan	1992	Springer Berlin Heidelberg
Reinforcement Learning for Approximate Optimal Control	Warren E. Dixon	Encyclopedia of Systems and Control	John Baillieul; Tariq Samad	2nd ed. 2021	Springer International Publishing
Reinforcement Learning for Approximate Optimal Control	Warren E. Dixon	Encyclopedia of Systems and Control	John Baillieul; Tariq Samad	0th ed. 2020	Springer London
Reinforcement Learning Based Adaptive Optimal Strategy in Robotic Control Systems	Phuong Nam Dao; Hong Quang Nguyen	Research in Intelligent and Computing in Engineering: Select Proceedings of RICE 2020	Raghvendra Kumar; Nguyen Ho Quang; Vijender Kumar Solanki; Manuel Cardona; Prasant Kumar Pattnaik	1st ed. 2021	Springer Nature Singapore
Reinforcement Learning for Optimal Adaptive Control of Time Delay Systems	Syed Ali Asad Rizvi; Yusheng Wei; Zongli Lin	Handbook of Reinforcement Learning and Control	Kyriakos G. Vamvoudakis; Yan Wan; Frank L. Lewis; Derya Cansever	1st ed. 2021	Springer International Publishing
On Stochastic Optimal Control and Reinforcement Learning by Approximate Inference		Robotics: Science and Systems VIII	Nicholas Roy; Paul Newman; Siddhartha Srinivasa	2013	The MIT Press,
On Stochastic Optimal Control and Reinforcement Learning by Approximate Inference		Robotics: Science and Systems VIII	Priyanshu Agarwal; Suren Kumar; Julian Ryde; Jason Corso; Venkat Krovi; Nisar Ahmed; Jonathan Schoenberg; Mark Campbell; Michael Bloesch; Marco Hutter; Mark Hoepflinger; Stefan Leutenegger; Christian Gehring; C. David Remy; Roland Siegwart; Jonathan Brookshire; Seth Teller; Mitch Bryson; Matthew Johnson-Roberson; Oscar Pizzaro; Stefan Williams; Nick Colonnese; Allison Okamura; Debadeepta Dey; Tian Yu Liu; Martial Hebert; J. Andrew Bagnell; Mehmet R. Dogar; Kaijen Hsiao; Matei Ciocarlie; Siddhartha Srinivasa; Bertrand Douillard; Navid Nourani-Vatani; Chris Roman; Ian Vaughn; Gabrielle Inglis; Anca Dragan; Jeremy Gillula; Claire Tomlin; Kyle Gilpin; Daniela Rus; Guido Gioioso; Gionata Salvietti; Monica Malvezzi; Domenico Prattichizzo; Michael Goodrich; Sean Kerman; Brian Pendleton; P. B. Sujit; Christoph Hartmann; Joschka Boedecker; Oliver Obst; Shuhei Ikemoto; Minoru Asada; Kris Hauser; Takayuki Kanda; Léonard Jaillet; Josep M. Porta; Abhinandan Jain; Cory Crean; Calvin Kuo; Hubertus Von Bremen; Steven Myint; Dominik Joho; Gian Diego Tipaldi; Nikolas Engelhard; Cyrill Stachniss; Wolfram Burgard; Brian Julian; Stephen L. Smith; Moslem Kazemi; Jean-Sebastien Valois; Nancy Pollard; Mirko Kovac; Maria Bendana; Rohit Krishnan; Jessica Burton; Michael Smith; Robert Wood; Markus Kuderer; Henrik Kretzschmar; Christoph Sprunk; Scott Kuindersma; Roderic A. Grupen; Andrew G. Barto; Tobias Kunz; Mike Stilman; Aleksandr Kushleyev; Vijay Kumar; Daniel Mellinger; Matteo Laffranchi; Nikos Tsagarakis; Darwin Caldwell; Yasir Latif; Cesar Cadena Lerma; José Neira; Mingyang Li; Anastasios Mourikis; Sejoon Lim; Christian Sommer; Evdokia Nikolova; Lantao Liu; Dylan Shell; Andrew Long; Kevin Wolfe; Michael Mashner; Greg Chirikjian; Ilya Lysenkov; Victor Eruhimov; Gary Bradski; William Maddern; Michael Milford; Gordon Wyeth; Bhaskara Marthi; Jun Nakanishi; Sethu Vijayakumar; Edwin Olson; Pratik Agarwal; Igor Paprotny; Christopher Levey; Paul Wright; Bruce R. Donald; Quang-Cuong Pham; Yoshih	2013	MIT Press
14 REINFORCEMENT LEARNING AND OPTIMAL CONTROL- SOME TERMINOLOGY		Reinforcement learning and Optimal Control - Draft version	Dmitri Bertsekas	2019	Athena Scientific
Deep Reinforcement Learning for Optimal Traffic Control	Rajasekhar Nannapaneni; Raghavendra V. Kulkarni; Shalabh Bhatnagar	Machine Intelligence and Smart Systems: Proceedings of MISS 2021	Shikha Agrawal; Kamlesh Kumar Gupta; Jonathan H. Chan; Jitendra Agrawal; Manish Gupta	1st ed. 2022	Springer Nature Singapore
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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