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Autonomous Agents and Multiagent Systems

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Cover of 'Autonomous Agents and Multiagent Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Elastic & Load-Spike Proof One-to-Many Negotiation to Improve the Service Acceptability of an Open SaaS Provider
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    Chapter 2 Opponent Modeling with Information Adaptation (OMIA) in Automated Negotiations
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    Chapter 3 Uncertainty Assessment in Agent-Based Simulation: An Exploratory Study
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    Chapter 4 Developing Multi-agent-based Thought Experiments: A Case Study on the Evolution of Gamete Dimorphism
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    Chapter 5 Cooperative Multi-agent Control Using Deep Reinforcement Learning
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    Chapter 6 Stereotype Reputation with Limited Observability
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    Chapter 7 Working Together: Committee Selection and the Supermodular Degree
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    Chapter 8 On the Deployment of Factor Graph Elements to Operate Max-Sum in Dynamic Ambient Environments
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    Chapter 9 Optimizing Peer Teaching to Enhance Team Performance
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    Chapter 10 A Protocol for Mixed Autonomous and Human-Operated Vehicles at Intersections
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    Chapter 11 Evaluating Ad Hoc Teamwork Performance in Drop-In Player Challenges
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    Chapter 12 Convention Emergence in Partially Observable Topologies
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    Chapter 13 Reasoning About Opportunistic Propensity in Multi-agent Systems
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    Chapter 14 Approaching Interactions in Agent-Based Modelling with an Affordance Perspective
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    Chapter 15 Towards a Fast Detection of Opponents in Repeated Stochastic Games
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    Chapter 16 Event Calculus Agent Minds Applied to Diabetes Monitoring
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    Chapter 17 Multiple-Profile Prediction-of-Use Games
Attention for Chapter 5: Cooperative Multi-agent Control Using Deep Reinforcement Learning
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Chapter title
Cooperative Multi-agent Control Using Deep Reinforcement Learning
Chapter number 5
Book title
Autonomous Agents and Multiagent Systems
Published by
Springer, Cham, May 2017
DOI 10.1007/978-3-319-71682-4_5
Book ISBNs
978-3-31-971681-7, 978-3-31-971682-4

Jayesh K. Gupta, Maxim Egorov, Mykel Kochenderfer, Gupta, Jayesh K., Egorov, Maxim, Kochenderfer, Mykel

Mendeley readers

The data shown below were compiled from readership statistics for 618 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Unknown 617 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 166 27%
Student > Master 138 22%
Researcher 53 9%
Student > Bachelor 40 6%
Student > Doctoral Student 30 5%
Other 56 9%
Unknown 135 22%
Readers by discipline Count As %
Computer Science 242 39%
Engineering 158 26%
Mathematics 9 1%
Decision Sciences 8 1%
Social Sciences 6 <1%
Other 34 6%
Unknown 161 26%