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PRICAI 2021: Trends in Artificial Intelligence

18th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2021, Hanoi, Vietnam, November 8–12, 2021, Proceedings, Part III

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Duc Nghia Pham

    1. MIMOS Berhad, Kuala Lumpur, Malaysia

  2. Thanaruk Theeramunkong

    1. Sirindhorn International Institute of Science and Technology, Thammasat University, Mueang Pathum Thani, Thailand

  3. Guido Governatori

    1. Data61, CSIRO, Brisbane, Australia

  4. Fenrong Liu

    1. Department of Philosophy, Tsinghua University, Beijing, China

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13033)

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

Included in the following conference series:

Conference proceedings info: PRICAI 2021.

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About this book

This three-volume set, LNAI 13031, LNAI 13032, and LNAI 13033 constitutes  the thoroughly refereed proceedings of the 18th Pacific Rim Conference on Artificial Intelligence, PRICAI 2021, held in Hanoi, Vietnam, in November 2021.The 93 full papers and 28 short papers presented in these volumes were carefully reviewed and selected from 382 submissions. PRICAI covers a wide range of topics in the areas of social and economic importance for countries in the Pacific Rim: artificial intelligence, machine learning, natural language processing, knowledge representation and reasoning, planning and scheduling, computer vision, distributed artificial intelligence, search methodologies, etc. Part III includes two thematic blocks: Reinforcement Learning, followed by Vision and Perception.

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Table of contents (32 papers)

  1. Front Matter

    Pages i-xvii
    Download chapter PDF

  2. Reinforcement Learning

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Consistency Regularization for Ensemble Model Based Reinforcement Learning

      • Ruonan Jia, Qingming Li, Wenzhen Huang, Junge Zhang, Xiu Li
      Pages 3-16

    3. Detecting and Learning Against Unknown Opponents for Automated Negotiations

      • Leling Wu, Siqi Chen, Xiaoyang Gao, Yan Zheng, Jianye Hao
      Pages 17-31

    4. Diversity-Based Trajectory and Goal Selection with Hindsight Experience Replay

      • Tianhong Dai, Hengyan Liu, Kai Arulkumaran, Guangyu Ren, Anil Anthony Bharath
      Pages 32-45

    5. Off-Policy Training for Truncated TD(\(\lambda \)) Boosted Soft Actor-Critic

      • Shiyu Huang, Bin Wang, Hang Su, Dong Li, Jianye Hao, Jun Zhu et al.
      Pages 46-59

    6. Adaptive Warm-Start MCTS in AlphaZero-Like Deep Reinforcement Learning

      • Hui Wang, Mike Preuss, Aske Plaat
      Pages 60-71

    7. Batch-Constraint Inverse Reinforcement Learning

      • Mao Chen, Li Wan, Chunyan Gou, Jiaolu Liao, Shengjiang Wu
      Pages 72-82

    8. KG-RL: A Knowledge-Guided Reinforcement Learning for Massive Battle Games

      • Shiyang Zhou, Weiya Ren, Xiaoguang Ren, Xianya Mi, Xiaodong Yi
      Pages 83-94

  3. Vision and Perception

    1. Front Matter

      Pages 95-95
      Download chapter PDF

    2. A Semi-supervised Defect Detection Method Based on Image Inpainting

      • Huibin Cao, Yongxuan Lai, Quan Chen, Fan Yang
      Pages 97-108

    3. ANF: Attention-Based Noise Filtering Strategy for Unsupervised Few-Shot Classification

      • Guangsen Ni, Hongguang Zhang, Jing Zhao, Liyang Xu, Wenjing Yang, Long Lan
      Pages 109-123

    4. Asymmetric Mutual Learning for Unsupervised Cross-Domain Person Re-identification

      • Danyang Huang, Lei Zhang, Qishuai Diao, Wei Wu, Zhong Zhou
      Pages 124-137

    5. Collaborative Positional-Motion Excitation Module for Efficient Action Recognition

      • Tamam Alsarhan, Hongtao Lu
      Pages 138-151

    6. Graph Attention Convolutional Network with Motion Tempo Enhancement for Skeleton-Based Action Recognition

      • Ruwen Bai, Xiang Meng, Bo Meng, Miao Jiang, Junxing Ren, Yang Yang et al.
      Pages 152-165

    7. Learning to Synthesize and Remove Rain Unsupervisedly

      • Yinhe Qi, Meng Pan, Zhi Jin
      Pages 166-181

    8. Object Bounding Box-Aware Embedding for Point Cloud Instance Segmentation

      • Lixue Cheng, Taihai Yang, Lizhuang Ma
      Pages 182-194

    9. Objects as Extreme Points

      • Yang Yang, Min Li, Bo Meng, Zihao Huang, Junxing Ren, Degang Sun
      Pages 195-208

    10. Occlusion-Aware Facial Expression Recognition Based Region Re-weight Network

      • Xinghai Zhang, Xingming Zhang, Jinzhao Zhou, Yubei Lin
      Pages 209-222

    11. Online Multi-Object Tracking with Pose-Guided Object Location and Dual Self-Attention Network

      • Xin Zhang, Shihao Wang, Yuanzhe Yang, Chengxiang Chu, Zhong Zhou
      Pages 223-235
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Other volumes

  1. PRICAI 2021: Trends in Artificial Intelligence

  2. PRICAI 2021: Trends in Artificial Intelligence

  3. PRICAI 2021: Trends in Artificial Intelligence

Editors and Affiliations

  • MIMOS Berhad, Kuala Lumpur, Malaysia

    Duc Nghia Pham

  • Sirindhorn International Institute of Science and Technology, Thammasat University, Mueang Pathum Thani, Thailand

    Thanaruk Theeramunkong

  • Data61, CSIRO, Brisbane, Australia

    Guido Governatori

  • Department of Philosophy, Tsinghua University, Beijing, China

    Fenrong Liu

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