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Distributed Artificial Intelligence

Second International Conference, DAI 2020, Nanjing, China, October 24–27, 2020, Proceedings

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Matthew E. Taylor

    1. University of Alberta, Edmonton, Canada

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  2. Yang Yu

    1. Nanjing University, Nanjing, China

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  3. Edith Elkind

    1. University of Oxford, Oxford, UK

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  4. Yang Gao

    1. Nanjing University, Nanjing, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12547)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: DAI 2020.

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Table of contents (9 papers)

  1. Front Matter

    Pages i-ix
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  2. Parallel Algorithm for Nash Equilibrium in Multiplayer Stochastic Games with Application to Naval Strategic Planning

    • Sam Ganzfried, Conner Laughlin, Charles Morefield
    Pages 1-13

  3. LAC-Nav: Collision-Free Multiagent Navigation Based on the Local Action Cells

    • Li Ning, Yong Zhang
    Pages 14-28

  4. MGHRL: Meta Goal-Generation for Hierarchical Reinforcement Learning

    • Haotian Fu, Hongyao Tang, Jianye Hao, Wulong Liu, Chen Chen
    Pages 29-39

  5. D3PG: Decomposed Deep Deterministic Policy Gradient for Continuous Control

    • Yinzhao Dong, Chao Yu, Hongwei Ge
    Pages 40-54

  6. Lyapunov-Based Reinforcement Learning for Decentralized Multi-agent Control

    • Qingrui Zhang, Hao Dong, Wei Pan
    Pages 55-68

  7. Hybrid Independent Learning in Cooperative Markov Games

    • Roi Yehoshua, Christopher Amato
    Pages 69-84

  8. Efficient Exploration by Novelty-Pursuit

    • Ziniu Li, Xiong-Hui Chen
    Pages 85-102

  9. Context-Aware Multi-agent Coordination with Loose Couplings and Repeated Interaction

    • Feifei Lin, Xu He, Bo An
    Pages 103-125

  10. Battery Management for Automated Warehouses via Deep Reinforcement Learning

    • Yanchen Deng, Bo An, Zongmin Qiu, Liuxi Li, Yong Wang, Yinghui Xu
    Pages 126-139

  11. Back Matter

    Pages 141-141
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Other volumes

  1. Distributed Artificial Intelligence

Keywords

About this book

This book constitutes the refereed proceedings of the Second International Conference on Distributed Artificial Intelligence, DAI 2020, held in Nanjing, China, in October 2020.

The 9 full papers presented in this book were carefully reviewed and selected from 22 submissions. DAI aims at bringing together international researchers and practitioners in related areas including general AI, multiagent systems, distributed learning, computational game theory, etc., to provide a single, high-profile, internationally renowned forum for research in the theory and practice of distributed AI.

Due to the Corona pandemic this event was held virtually.

Editors and Affiliations

  • University of Alberta, Edmonton, Canada

    Matthew E. Taylor

  • Nanjing University, Nanjing, China

    Yang Yu, Yang Gao

  • University of Oxford, Oxford, UK

    Edith Elkind

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