Value Based Planning For Teams Of Agents In Stochastic Partially Observable Environments
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Value Based Planning For Teams Of Agents In Stochastic Partially Observable Environments
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Author : Frans Oliehoek
language : en
Publisher: Amsterdam University Press
Release Date : 2010
Value Based Planning For Teams Of Agents In Stochastic Partially Observable Environments written by Frans Oliehoek and has been published by Amsterdam University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Business & Economics categories.
In this thesis decision-making problems are formalized using a stochastic discrete-time model called decentralized partially observable Markov decision process (Dec-POMDP).
A Concise Introduction To Decentralized Pomdps
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Author : Frans A. Oliehoek
language : en
Publisher: Springer
Release Date : 2016-06-03
A Concise Introduction To Decentralized Pomdps written by Frans A. Oliehoek and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-03 with Computers categories.
This book introduces multiagent planning under uncertainty as formalized by decentralized partially observable Markov decision processes (Dec-POMDPs). The intended audience is researchers and graduate students working in the fields of artificial intelligence related to sequential decision making: reinforcement learning, decision-theoretic planning for single agents, classical multiagent planning, decentralized control, and operations research.
Reinforcement Learning
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Author : Marco Wiering
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-03-05
Reinforcement Learning written by Marco Wiering and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03-05 with Computers categories.
Reinforcement learning encompasses both a science of adaptive behavior of rational beings in uncertain environments and a computational methodology for finding optimal behaviors for challenging problems in control, optimization and adaptive behavior of intelligent agents. As a field, reinforcement learning has progressed tremendously in the past decade. The main goal of this book is to present an up-to-date series of survey articles on the main contemporary sub-fields of reinforcement learning. This includes surveys on partially observable environments, hierarchical task decompositions, relational knowledge representation and predictive state representations. Furthermore, topics such as transfer, evolutionary methods and continuous spaces in reinforcement learning are surveyed. In addition, several chapters review reinforcement learning methods in robotics, in games, and in computational neuroscience. In total seventeen different subfields are presented by mostly young experts in those areas, and together they truly represent a state-of-the-art of current reinforcement learning research. Marco Wiering works at the artificial intelligence department of the University of Groningen in the Netherlands. He has published extensively on various reinforcement learning topics. Martijn van Otterlo works in the cognitive artificial intelligence group at the Radboud University Nijmegen in The Netherlands. He has mainly focused on expressive knowledge representation in reinforcement learning settings.
Multi Objective Decision Making
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Author : Diederik M. Roijers
language : en
Publisher: Springer Nature
Release Date : 2022-05-31
Multi Objective Decision Making written by Diederik M. Roijers and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Computers categories.
Many real-world decision problems have multiple objectives. For example, when choosing a medical treatment plan, we want to maximize the efficacy of the treatment, but also minimize the side effects. These objectives typically conflict, e.g., we can often increase the efficacy of the treatment, but at the cost of more severe side effects. In this book, we outline how to deal with multiple objectives in decision-theoretic planning and reinforcement learning algorithms. To illustrate this, we employ the popular problem classes of multi-objective Markov decision processes (MOMDPs) and multi-objective coordination graphs (MO-CoGs). First, we discuss different use cases for multi-objective decision making, and why they often necessitate explicitly multi-objective algorithms. We advocate a utility-based approach to multi-objective decision making, i.e., that what constitutes an optimal solution to a multi-objective decision problem should be derived from the available information about user utility. We show how different assumptions about user utility and what types of policies are allowed lead to different solution concepts, which we outline in a taxonomy of multi-objective decision problems. Second, we show how to create new methods for multi-objective decision making using existing single-objective methods as a basis. Focusing on planning, we describe two ways to creating multi-objective algorithms: in the inner loop approach, the inner workings of a single-objective method are adapted to work with multi-objective solution concepts; in the outer loop approach, a wrapper is created around a single-objective method that solves the multi-objective problem as a series of single-objective problems. After discussing the creation of such methods for the planning setting, we discuss how these approaches apply to the learning setting. Next, we discuss three promising application domains for multi-objective decision making algorithms: energy, health, and infrastructure and transportation. Finally, we conclude by outlining important open problems and promising future directions.
Machine Learning And Knowledge Discovery In Databases
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Author : Hendrik Blockeel
language : en
Publisher: Springer
Release Date : 2013-08-28
Machine Learning And Knowledge Discovery In Databases written by Hendrik Blockeel and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-28 with Computers categories.
This three-volume set LNAI 8188, 8189 and 8190 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2013, held in Prague, Czech Republic, in September 2013. The 111 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 447 submissions. The papers are organized in topical sections on reinforcement learning; Markov decision processes; active learning and optimization; learning from sequences; time series and spatio-temporal data; data streams; graphs and networks; social network analysis; natural language processing and information extraction; ranking and recommender systems; matrix and tensor analysis; structured output prediction, multi-label and multi-task learning; transfer learning; bayesian learning; graphical models; nearest-neighbor methods; ensembles; statistical learning; semi-supervised learning; unsupervised learning; subgroup discovery, outlier detection and anomaly detection; privacy and security; evaluation; applications; and medical applications.
Artificial General Intelligence
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Author : Jürgen Schmidhuber
language : en
Publisher: Springer
Release Date : 2011-07-19
Artificial General Intelligence written by Jürgen Schmidhuber and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-07-19 with Computers categories.
This book constitutes the refereed proceedings of the 4th International Conference on Artificial General Intelligence, AGI 2011, held in Mountain View, CA, USA, in August 2011. The 28 revised full papers and 26 short papers were carefully reviewed and selected from 103 submissions. The papers are written by leading academic and industry researchers involved in scientific and engineering work and focus on the creation of AI systems possessing general intelligence at the human level and beyond.
Nasa Formal Methods
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Author : Ritchie Lee
language : en
Publisher: Springer Nature
Release Date : 2020-08-10
Nasa Formal Methods written by Ritchie Lee and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-10 with Computers categories.
This book constitutes the proceedings of the 12th International Symposium on NASA Formal Methods, NFM 2020, held in Moffett Field, CA, USA, in May 2020.* The 20 full and 5 short papers presented in this volume were carefully reviewed and selected from 62 submissions. The papers are organized in the following topical sections: learning and formal synthesis; formal methods for DNNs; high assurance systems; requirement specification and testing; validation and solvers; solvers and program analysis; verification and times systems; autonomy and other applications; and hybrid and cyber-physical systems. *The conference was held virtually due to the COVID-19 pandemic. The chapter “Verifying a Solver for Linear Mixed Integer Arithmetic in Isabelle/HOL” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Fundamental Issues Of Artificial Intelligence
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Author : Vincent C. Müller
language : en
Publisher: Springer
Release Date : 2016-06-07
Fundamental Issues Of Artificial Intelligence written by Vincent C. Müller and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-07 with Philosophy categories.
This volume offers a look at the fundamental issues of present and future AI, especially from cognitive science, computer science, neuroscience and philosophy. This work examines the conditions for artificial intelligence, how these relate to the conditions for intelligence in humans and other natural agents, as well as ethical and societal problems that artificial intelligence raises or will raise. The key issues this volume investigates include the relation of AI and cognitive science, ethics of AI and robotics, brain emulation and simulation, hybrid systems and cyborgs, intelligence and intelligence testing, interactive systems, multi-agent systems, and super intelligence. Based on the 2nd conference on “Theory and Philosophy of Artificial Intelligence” held in Oxford, the volume includes prominent researchers within the field from around the world.
Stairs 2010
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Author : Thomas Ågotnes
language : en
Publisher: IOS Press
Release Date : 2011
Stairs 2010 written by Thomas Ågotnes and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Computers categories.
"This book contains revised versions of most of the peer-reviewed papers presented at the Fifth Symposium for Artificial Intelligence Researchers (STAIRS), which took place in Lisbon, Portugal, in conjunction with the 19th European Conference on Artificial Intelligence (ECAI) and the Sixth Conference on Prestigious Applications of Intelligent Systems (PAIS) in August 2010. STAIRS is an international meeting which aims to support AI researchers from all countries at the beginning of their career, and PhD students or those who have held a PhD for less than one year. It offers doctoral students and young post-doctoral AI fellows a unique and valuable opportunity to gain experience in presenting their work in a supportive scientific environment, where they can obtain constructive feedback on the technical content of their work as well as advice on how to present it, and where they can also establish contacts with the broader European AI research community. The topics cover a broad spectrum of subjects in the field of AI: learning and classification, ontologies and the semantic web, agent programming and planning, logic and reasoning, economic approaches, games, dialogue systems, user preferences and recommender systems. Offering an opportunity to glimpse the current work of the AI researchers of the future, this book will be of interest to anyone whose work involves the use of artificial intelligence and intelligent systems."--Publisher description.
Artificial Intelligence
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Author : David L. Poole
language : en
Publisher: Cambridge University Press
Release Date : 2017-09-25
Artificial Intelligence written by David L. Poole and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-25 with Computers categories.
Artificial Intelligence presents a practical guide to AI, including agents, machine learning and problem-solving simple and complex domains.