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Distributed Artificial Intelligence

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Cover of 'Distributed Artificial Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 A Distributed RBF-Assisted Differential Evolution for Distributed Expensive Constrained Optimization
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    Chapter 2 A Flexi Partner Selection Model for the Emergence of Cooperation in N-person Social Dilemmas
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    Chapter 3 Efficient Deep Reinforcement Learning via Policy-Extended Successor Feature Approximator
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    Chapter 4 Maximal Information Propagation with Limited Resources
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    Chapter 5 Optimistic Exploration Based on Categorical-DQN for Cooperative Markov Games
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    Chapter 6 A Game-Theoretic Approach to Multi-agent Trust Region Optimization
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    Chapter 7 An Adaptive Negotiation Dialogue Agent with Efficient Detection and Optimal Response
Attention for Chapter 3: Efficient Deep Reinforcement Learning via Policy-Extended Successor Feature Approximator
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Chapter title
Efficient Deep Reinforcement Learning via Policy-Extended Successor Feature Approximator
Chapter number 3
Book title
Distributed Artificial Intelligence
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-25549-6_3
Book ISBNs
978-3-03-125548-9, 978-3-03-125549-6
Authors

Li, Yining, Yang, Tianpei, Hao, Jianye, Zheng, Yan, Tang, Hongyao

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