"Policy Gradient Reinforcement Learning with Environmental Dynamics and Action-Values in Policies"

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Book	Author(s)	Year	Publisher
Deep Reinforcement Learning in Action	Alexander Zai, Brandon Brown	2020	Manning Publications
US Environmental Policy in Action	Sara R. Rinfret; Michelle C. Pautz	2nd ed. 2019	Springer International Publishing
Learning and Reinforcement	Stephen F. Walker	1975	Methuen
Hands-on Reinforcement Learning with Python. Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow	Sudharsan Ravichandiran	2018	Packt
Hands-on Reinforcement Learning with Python. Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow	Sudharsan Ravichandiran	2018	Packt
Hands-On Reinforcement Learning with Python: Master Reinforcement and Deep Reinforcement Learning Using OpenAI Gym and TensorFlow	Ravichandiran, Sudharsan	2018;2019	Packt Publishing Ltd
Zeroing Dynamics, Gradient Dynamics, and Newton Iterations	Yunong Zhang; Lin Xiao; Zhengli Xiao; Mingzhi Mao	2016	Routledge
Reinforcement Learning	Richard S. Sutton	1992	Springer US
Reinforcement Learning	Sutton, Barto	2018
Advances in Reinforcement Learning	Abdelhamid Mellouk	2011-01-14	IntechOpen
HANDS-ON REINFORCEMENT LEARNING WITH PYTHON -: master reinforcement and deep reinforcement. . . learning from scratch using openai gym and tensorf.	SUDHARSAN RAVICHANDIRAN	2020	PACKT PUBLISHING LIMITED
Values Education and Lifelong Learning: Principles, Policies, Programmes	David N. Aspin; Judith D. Chapman	2007	Springer Netherlands
Thinking Ecologically: Environmental Thought, Values and Policy	Bruce Morito	September 1, 2004	Fernwood Publishing Co., Ltd.
US Environmental Policy in Action: Practice and Implementation	S. Rinfret; M. Pautz	2014	Palgrave Macmillan US
Restoring the land: environmental values, knowledge, and action	David Evans	1994	Melbourne University Press;Distributed in the U.S.A. and Canada by International Specialized Book Services;Melbourne University Publishing
Deep Reinforcement Learning	Aske Plaat	1st ed. 2022	Springer Nature Singapore
Practical Reinforcement Learning	Farrukh Akhtar	2017	Packt Publishing
Learning: reinforcement theory	Fred Simmons Keller
Environmental Case: Translating Values into Policy	Judith A. Layzer	2015	CQ Press
Recent Advances in Reinforcement Learning	Leslie Pack Kaelbling	1996	Springer US
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Policy Gradient Reinforcement Learning with Environmental Dynamics and Action-Values in Policies	Seiji Ishihara; Harukazu Igarashi	Knowledge-Based and Intelligent Information and Engineering Systems, Part I: 15th International Conference, KES 2011, Kaiserslautern, Germany, September 12-14, 2011, Proceedings, Part I	Andreas Koenig; Andreas Dengel; Knut Hinkelmann; Koichi Kise; Robert J. Howlett; Lakhmi C. Jain	2011	Springer Berlin Heidelberg
Policy Gradient Reinforcement Learning		Lifelong Machine Learning [2nd ed. ]	Zhiyuan Chen, Bing Liu	2018	Morgan & Claypool
Behavior Learning Based on a Policy Gradient Method: Separation of Environmental Dynamics and State Values in Policies	Seiji Ishihara; Harukazu Igarashi	PRICAI 2008: Trends in Artificial Intelligence: 10th Pacific Rim International Conference on Artificial Intelligence, Hanoi, Vietnam, December 15-19, 2008, Proceedings	Tu-Bao Ho; Zhi-Hua Zhou	2008	Springer Berlin Heidelberg
Advanced Quantum Policy Approximation in Policy Gradient Reinforcement Learning	Leonhard Kunczik	Reinforcement Learning with Hybrid Quantum Approximation in the NISQ Context	Leonhard Kunczik	1st ed. 2022	Springer Fachmedien Wiesbaden
Reinforcement Learning in Action		Practical Deep Learning for Cloud, Mobile, and Edge: Real-World AI & Computer-Vision Projects Using Python, Keras & TensorFlow	Anirudh Koul, Siddha Ganju, Meher Kasam	2019	O'Reilly Media
Reinforcement Learning in Action		Practical Deep Learning for Cloud, Mobile, and Edge: Real-World AI & Computer-Vision Projects Using Python, Keras & TensorFlow	Anirudh Koul, Siddha Ganju, Meher Kasam	2019	O'Reilly Media
PG-ELLA: Lifelong Policy Gradient Reinforcement Learning		Lifelong Machine Learning [2nd ed. ]	Zhiyuan Chen, Bing Liu	2018	Morgan & Claypool
Reinforcement Learning with Policy Gradients	Ryan G. McClarren	Machine Learning for Engineers: Using data to solve problems for physical systems	Ryan G. McClarren	1st ed. 2021	Springer International Publishing
Reinforcement Learning with Self-Modifying Policies	Jürgen Schmidhuber; Jieyu Zhao; Nicol N. Schraudolph	Learning to Learn	Sebastian Thrun; Lorien Pratt	1998	Springer US
Fuzzy Baselines to Stabilize Policy Gradient Reinforcement Learning	Gabriela Surita; Andre Lemos; Fernando Gomide	Explainable AI and Other Applications of Fuzzy Techniques: Proceedings of the 2021 Annual Conference of the North American Fuzzy Information Processing Society, NAFIPS 2021	Julia Rayz; Victor Raskin; Scott Dick; Vladik Kreinovich	1st ed. 2022	Springer International Publishing
Adaptive Playouts in Monte-Carlo Tree Search with Policy-Gradient Reinforcement Learning	Tobias Graf; Marco Platzner	Advances in Computer Games: 14th International Conference, ACG 2015, Leiden, The Netherlands, July 1-3, 2015, Revised Selected Papers	Aske Plaat; Jaap van den Herik; Walter Kosters	1st ed. 2015	Springer International Publishing
Reinforcement Learning and Hippocampal Dynamics	Adam Johnson; Sarah Venditto	Analysis and Modeling of Coordinated Multi-neuronal Activity	Masami Tatsuno	2015	Springer New York
Learning Environmental Values		Uncommon Ground: Cultural Landscapes and Environmental Values	Veronica Strang	1997	Routledge
Policy-Based Reinforcement Learning	Aske Plaat	Deep Reinforcement Learning	Aske Plaat	1st ed. 2022	Springer Nature Singapore
Multi-agent Learning and the Reinforcement Gradient	Michael Kaisers; Daan Bloembergen; Karl Tuyls	Multi-Agent Systems: 9th European Workshop, EUMAS 2011, Maastricht, The Netherlands, November 14-15, 2011. Revised Selected Papers	Massimo Cossentino; Michael Kaisers; Karl Tuyls; Gerhard Weiss	2012	Springer Berlin Heidelberg
Causal Based Action Selection Policy for Reinforcement Learning	Ivan Feliciano-Avelino; Arquímides Méndez-Molina; Eduardo F. Morales; L. Enrique Sucar	Advances in Computational Intelligence: 20th Mexican International Conference on Artificial Intelligence, MICAI 2021, Mexico City, Mexico, October 25–30, 2021, Proceedings, Part I	Ildar Batyrshin; Alexander Gelbukh; Grigori Sidorov	1st ed. 2021	Springer International Publishing
Learning with reinforcement		Data Science For Dummies	Lillian Pierson	2021	For Dummies
Dynamic Action Sequences in Reinforcement Learning		From Animals to Animats 5: Proceedings of the Fifth International Conference on Simulation of Adaptive Behavior	Rolf Pfeifer; Bruce Blumberg; Jean-Arcady Meyer; Stewart W. Wilson	1998	MIT Press,
Dynamic Action Sequences in Reinforcement Learning		From Animals to Animats 5: Proceedings of the Fifth International Conference on Simulation of Adaptive Behavior	Rolf Pfeifer; Bruce Blumberg; Jean-Arcady Meyer; Stewart W. Wilson	1998	MIT Press
Reinforcement Learning for Mobile Robot Obstacle Avoidance with Deep Deterministic Policy Gradient	Miao Chen; Wenna Li; Shihan Fei; Yufei Wei; Mingyang Tu; Jiangbo Li	Intelligent Robotics and Applications: 15th International Conference, ICIRA 2022, Harbin, China, August 1–3, 2022, Proceedings, Part III	Honghai Liu; Zhouping Yin; Lianqing Liu; Li Jiang; Guoying Gu; Xinyu Wu; Weihong Ren	1st ed. 2022	Springer International Publishing
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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