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Agents and Artificial Intelligence

Overview of attention for book
Cover of 'Agents and Artificial Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 The Dynamics of Semantic Change: A Corpus-Based Analysis
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    Chapter 2 Reinforcement Learning Method for Ad Networks Ordering in Real-Time Bidding
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    Chapter 3 Neural Hidden Markov Model
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    Chapter 4 A General Approach to Distributed and Privacy-Preserving Heuristic Computation
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    Chapter 5 Social Golfer Problem Revisited
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    Chapter 6 Weighted Personalized Factorizations for Network Classification with Approximated Relation Weights
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    Chapter 7 Multi-agent Path Finding with Generalized Conflicts: An Experimental Study
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    Chapter 8 Dynamics of Narrow-Minded Belief and Its Cut-Free Sequent Calculus
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    Chapter 9 Application of PSO-Based Constrained Combinatorial Optimization to Segment Assignment in Shield Tunneling
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    Chapter 10 Boosting Local Search Using Machine Learning: A Study on Improving Local Search by Graph Classification in Determining Capacity of Shunting Yards
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    Chapter 11 Bipartite Split-Merge Evolutionary Clustering
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    Chapter 12 Wide and Deep Reinforcement Learning Extended for Grid-Based Action Games
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    Chapter 13 Adaptive-Aggressive Traders Don’t Dominate
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    Chapter 14 Improvement of Multi-agent Continuous Cooperative Patrolling with Learning of Activity Length
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    Chapter 15 Symmetry Breaking in Evacuation Exit Choice: Impacts of Cognitive Bias and Physical Factor on Evacuation Decision
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    Chapter 16 The Effect of Laziness on Agents for Large Scale Global Optimization
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    Chapter 17 Conversational Agents for Insurance Companies: From Theory to Practice
Attention for Chapter 12: Wide and Deep Reinforcement Learning Extended for Grid-Based Action Games
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Citations

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Chapter title
Wide and Deep Reinforcement Learning Extended for Grid-Based Action Games
Chapter number 12
Book title
Agents and Artificial Intelligence
Published by
Springer, Cham, December 2019
DOI 10.1007/978-3-030-37494-5_12
Book ISBNs
978-3-03-037493-8, 978-3-03-037494-5
Authors

Juan M. Montoya, Christoph Doell, Christian Borgelt, Montoya, Juan M., Doell, Christoph, Borgelt, Christian

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Student > Doctoral Student 1 50%
Readers by discipline Count As %
Business, Management and Accounting 1 50%
Computer Science 1 50%

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