Multiagent Learning In Non Stationary Environments
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Multiagent Learning In Non Stationary Environments
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Author : Michael Weinberg
language : en
Publisher:
Release Date : 2006
Multiagent Learning In Non Stationary Environments written by Michael Weinberg and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with categories.
Effective Learning In Non Stationary Multiagent Environments
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Author : Dong Ki Kim (Artificial intelligence expert)
language : en
Publisher:
Release Date : 2023
Effective Learning In Non Stationary Multiagent Environments written by Dong Ki Kim (Artificial intelligence expert) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with categories.
Multiagent reinforcement learning (MARL) provides a principled framework for a group of artificial intelligence agents to learn collaborative and/or competitive behaviors at the level of human experts. Multiagent learning settings inherently solve much more complex problems than single-agent learning because an agent interacts both with the environment and other agents. In particular, multiple agents simultaneously learn in MARL, leading to natural non-stationarity in the experiences encountered and thus requiring each agent to its behavior with respect to potentially large changes in other agents' policies. This thesis aims to address the non-stationarity challenge in multiagent learning from three important topics: 1) adaptation, 2) convergence, and 3) state space. The first topic answers how an agent can learn effective adaptation strategies concerning other agents' changing policies by developing a new meta-learning framework. The second topic answers how agents can adapt and influence the joint learning process such that policies converge to more desirable limiting behaviors by the end of learning based on a new game-theoretical solution concept. Lastly, the last topic answers how state space size can be reduced based on knowledge sharing and context-specific abstraction such that the learning complexity is less affected by non-stationarity. In summary, this thesis develops theoretical and algorithmic contributions to provide principled answers to the aforementioned topics on non-stationarity. The developed algorithms in this thesis demonstrate their effectiveness in a diverse suite of multiagent benchmark domains, including the full spectrum of mixed incentive, competitive, and cooperative environments.
Learning And Adaption In Multi Agent Systems
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Author : Karl Tuyls
language : en
Publisher: Springer
Release Date : 2006-03-07
Learning And Adaption In Multi Agent Systems written by Karl Tuyls and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-03-07 with Computers categories.
This book constitutes the thoroughly refereed post-proceedings of the First International Workshop on Learning and Adaption in Multi-Agent Systems, LAMAS 2005, held in The Netherlands, in July 2005, as an associated event of AAMAS 2005. The 13 revised papers presented together with two invited talks were carefully reviewed and selected from the lectures given at the workshop.
Advanced Machine Learning Approaches In Cancer Prognosis
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Author : Janmenjoy Nayak
language : en
Publisher: Springer Nature
Release Date : 2021-05-29
Advanced Machine Learning Approaches In Cancer Prognosis written by Janmenjoy Nayak and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-29 with Technology & Engineering categories.
This book introduces a variety of advanced machine learning approaches covering the areas of neural networks, fuzzy logic, and hybrid intelligent systems for the determination and diagnosis of cancer. Moreover, the tactical solutions of machine learning have proved its vast range of significance and, provided novel solutions in the medical field for the diagnosis of disease. This book also explores the distinct deep learning approaches that are capable of yielding more accurate outcomes for the diagnosis of cancer. In addition to providing an overview of the emerging machine and deep learning approaches, it also enlightens an insight on how to evaluate the efficiency and appropriateness of such techniques and analysis of cancer data used in the cancer diagnosis. Therefore, this book focuses on the recent advancements in the machine learning and deep learning approaches used in the diagnosis of different types of cancer along with their research challenges and future directions for the targeted audience including scientists, experts, Ph.D. students, postdocs, and anyone interested in the subjects discussed.
Principles Of Practice In Multi Agent Systems
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Author : Jung-Jin Yang
language : en
Publisher: Springer
Release Date : 2009-12-15
Principles Of Practice In Multi Agent Systems written by Jung-Jin Yang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-12-15 with Computers categories.
Agents are software processes that perceive and act in an environment, processing their perceptions to make intelligent decisions about actions to achieve their goals. Multi-agent systems have multiple agents that work in the same environment to achieve either joint or conflicting goals. Agent computing and technology is an exciting, emerging paradigm expected to play a key role in many society-changing practices from disaster response to manufacturing to agriculture. Agent and mul- agent researchers are focused on building working systems that bring together a broad range of technical areas from market theory to software engineering to user interfaces. Agent systems are expected to operate in real-world environments, with all the challenges complex environments present. After 11 successful PRIMA workshops/conferences (Pacific-Rim International Conference/Workshop on Multi-Agents), PRIMA became a new conference titled “International Conference on Principles of Practice in Multi-Agent Systems” in 2009. With over 100 submissions, an acceptance rate for full papers of 25% and 50% for posters, a demonstration session, an industry track, a RoboCup competition and workshops and tutorials, PRIMA has become an important venue for multi-agent research. Papers submitted are from all parts of the world, though with a higher representation of Pacific Rim countries than other major multi-agent research forums. This volume presents 34 high-quality and exciting technical papers on multimedia research and an additional 18 poster papers that give brief views on exciting research.
Adaptive Agents And Multi Agent Systems Iii Adaptation And Multi Agent Learning
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Author : Karl Tuyls
language : en
Publisher: Springer
Release Date : 2008-02-09
Adaptive Agents And Multi Agent Systems Iii Adaptation And Multi Agent Learning written by Karl Tuyls and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-02-09 with Computers categories.
This book contains selected and revised papers of the European Symposium on Adaptive and Learning Agents and Multi-Agent Systems (ALAMAS), editions 2005, 2006 and 2007, held in Paris, Brussels and Maastricht. The goal of the ALAMAS symposia, and this associated book, is to increase awareness and interest in adaptation and learning for single agents and mul- agent systems, and encourage collaboration between machine learning experts, softwareengineeringexperts,mathematicians,biologistsandphysicists,andgive a representative overviewof current state of a?airs in this area. It is an inclusive forum where researchers can present recent work and discuss their newest ideas for a ?rst time with their peers. Thesymposiaseriesfocusesonallaspectsofadaptiveandlearningagentsand multi-agent systems, with a particular emphasis on how to modify established learning techniques and/or create new learning paradigms to address the many challenges presented by complex real-world problems. These symposia were a great success and provided a forum for the pres- tation of new ideas and results bearing on the conception of adaptation and learning for single agents and multi-agent systems. Over these three editions we received 51 submissions, of which 17 were carefully selected, including one invited paper of this year’s invited speaker Simon Parsons. This is a very c- petitive acceptance rate of approximately 31%, which, together with two review cycles, has led to a high-quality LNAI volume. We hope that our readers will be inspired by the papers included in this volume.
Multi Agent Coordination
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Author : Arup Kumar Sadhu
language : en
Publisher: John Wiley & Sons
Release Date : 2020-12-01
Multi Agent Coordination written by Arup Kumar Sadhu and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-01 with Computers categories.
Discover the latest developments in multi-robot coordination techniques with this insightful and original resource Multi-Agent Coordination: A Reinforcement Learning Approach delivers a comprehensive, insightful, and unique treatment of the development of multi-robot coordination algorithms with minimal computational burden and reduced storage requirements when compared to traditional algorithms. The accomplished academics, engineers, and authors provide readers with both a high-level introduction to, and overview of, multi-robot coordination, and in-depth analyses of learning-based planning algorithms. You'll learn about how to accelerate the exploration of the team-goal and alternative approaches to speeding up the convergence of TMAQL by identifying the preferred joint action for the team. The authors also propose novel approaches to consensus Q-learning that address the equilibrium selection problem and a new way of evaluating the threshold value for uniting empires without imposing any significant computation overhead. Finally, the book concludes with an examination of the likely direction of future research in this rapidly developing field. Readers will discover cutting-edge techniques for multi-agent coordination, including: An introduction to multi-agent coordination by reinforcement learning and evolutionary algorithms, including topics like the Nash equilibrium and correlated equilibrium Improving convergence speed of multi-agent Q-learning for cooperative task planning Consensus Q-learning for multi-agent cooperative planning The efficient computing of correlated equilibrium for cooperative q-learning based multi-agent planning A modified imperialist competitive algorithm for multi-agent stick-carrying applications Perfect for academics, engineers, and professionals who regularly work with multi-agent learning algorithms, Multi-Agent Coordination: A Reinforcement Learning Approach also belongs on the bookshelves of anyone with an advanced interest in machine learning and artificial intelligence as it applies to the field of cooperative or competitive robotics.
Architectural Design Of Multi Agent Systems Technologies And Techniques
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Author : Lin, Hong
language : en
Publisher: IGI Global
Release Date : 2007-05-31
Architectural Design Of Multi Agent Systems Technologies And Techniques written by Lin, Hong and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-05-31 with Computers categories.
"This book is a compilation of advanced research results in architecture and modeling issues of multi-agent systems. It serves as a reference for research on system models, architectural design languages, methods and reasoning, module interface design, and design issues"--Provided by publisher.
Prima 2020 Principles And Practice Of Multi Agent Systems
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Author : Takahiro Uchiya
language : en
Publisher: Springer Nature
Release Date : 2021-02-13
Prima 2020 Principles And Practice Of Multi Agent Systems written by Takahiro Uchiya and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-13 with Computers categories.
This book constitutes the refereed proceedings of the 23rd International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2020, held in Nagoya, Japan, in November 2020. The 19 full papers presented and 13 short papers were carefully reviewed and selected from 50 submissions. Due to COVID-19, the conference was held online. The conference covers a wide range of ranging from foundations of agent theory and engineering aspects of agent systems, to emerging interdisciplinary areas of agent-based research.
Autonomous Agents And Multiagent Systems
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Author : Gita Sukthankar
language : en
Publisher: Springer
Release Date : 2017-11-23
Autonomous Agents And Multiagent Systems written by Gita Sukthankar and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-23 with Computers categories.
This book features a selection of best papers from 13 workshops held at the International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2017, held in Sao Paulo, Brazil, in May 2017. The 17 full papers presented in this volume were carefully reviewed and selected for inclusion in this volume. They cover specific topics, both theoretical and applied, in the general area of autonomous agents and multiagent systems.