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Competition & Cooperation, Multi-agent System, Optimality & Rationality

Among technologies of so-called Artificial Intelligence, our laboratory approaches machine learning, mathematical optimization, urban transportation, disaster mitigation, ground classification, railways (rescheduling, stopping control), and electricity interchange optimization.

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Introduction

Information

Awards & Lectures

  • 2019.11.
    SSI Excellent Presentation Award @ SICE Symposium on System and Information 2019 (SSI2019) (SSI2019)

    Toshiaki Chimura, Sachiyo Arai. Quantitative Evaluation of Suboptimal Trajectories in Inverse Reinforcement Learning.
  • 2019.11.
    SSI Excellent Presentation Award @ SICE Symposium on System and Information 2019 (SSI2019) (SSI2019)

    Daiko Kishikawa, Sachiyo Arai. Giving a Comfortable Ride by Autonomous Driving.
  • 2019.10.
    Best Student Paper Award @ The 4th IEEE International Conference on Agents (ICA'19)

    Daiko Kishikawa. Comfortable Driving by using Deep Inverse Reinforcement Learning.
  • 2019.09.
    IEEE Computer Society Japan Chapter Young Researcher Award @ Joint Agent Workshops & Symposium 2019

    Akiko Ikenaga. Weight estimation for each objective in multi-objective sequential decision problem under partial observation.
  • 2019.09.
    Best Poster Award @ Joint Agent Workshops & Symposium 2019

    Keiichi Namikoshi. Considering heterogeneous swarm inverse reinforcement learning for MAS model construction.
  • 2019.09.
    Excellent Poster Award @ Joint Agent Workshops & Symposium 2019

    Seiya Kitamura. Switching Method of Driving Policy Using Gradient for Autonomous Driving.
  • 2019.09.
    Research Encouragement Award @ Joint Agent Workshops & Symposium 2019

    Yusuke Nakata. Mini-batch Bayesian inverse reinforcement learning using expert trajectories in multiple environments.
  • 2019.09.
    Research Encouragement Award @ Joint Agent Workshops & Symposium 2019

    Yasuhiro Yoshida. Utilizing regenerative power in railway systems through deep reinforcement learning.
  • 2019.09.
    Excellent Poster Award @ Joint Agent Workshops & Symposium 2019

    Akiko Ikenaga. Weight estimation for each objective in multi-objective sequential decision problem under partial observation.
  • 2017.09.
    Excellent Paper Award @ Joint Agent Workshops & Symposium 2017

    Ryosuke Saitake, Shota Takeki, Sachiyo Arai. Multiobjective reinforcement learning algorithm by nonlinear scalarization of expected reward vector. (Japanese)
  • 2017.09.
    Excellent Poster Award @ Joint Agent Workshops & Symposium 2017

    Keiichi Namikoshi, Sachiyo Arai. Strategy extraction from human flow data considering tracking agents.(Japanese)
  • 2017.09.
    Excellent Poster Award @ Joint Agent Workshops & Symposium 2017

    Shota Ishikawa, Sachiyo Arai. Simultaneous estimation of reward and feature vector for learning driving of an expert driver. (Japanese)
  • 2017.09.
    Excellent Presentation Award @ Joint Agent Workshops & Symposium 2016

    Yusuke Nakata, Sachiyo Arai. Feature Extraction for Design Affordance Based on Analysis of Hidden Layer of Deep Neural Network. (Japanese)
  • 2016.03.
    Award of Excellence @ 16th Multi Agent System Competition

    Yoko Hino. Avoiding man-made disasters in the railway restoration process during disasters on major railway networks in the metropolitan area. (Japanese)
  • 2015.10.
    Excellent Poster Award @ Joint Agent Workshops & Symposium 2015

    Keiichi Namikoshi, Sachiyo Arai. Identification of norms of pedestrian behavior based on walking trajectories.(Japanese)
  • 2012.10
    Sponsor Award @ Joint Agent Workshops & Symposium 2012

    Shun Kagaya, Sachiyo Arai. Inter-regional power interchange by reinforcement learning agent. (Japanese)
  • 2012.06.
    Award of Excellence @ The 26th Annual Conference of the Japanese Society for Artificial Intelligence, 2012

    Kanako Suzuki, Amane Okita, Sachiyo Arai. Inverse Reinforcement learning to Play an Optimal Nash Equilibrium in Multiagent System. (Japanese)
  • 2010.06.18
    Invited Lecture @ The 24th Annual Conference of the Japanese Society for Artificial Intelligence, 2010

    Theme setting as "when in Rome, do as the Romans do" (Japanese)
  • 2010.
    Best Presentation Award @ Multiagent Workshop 2010

    Kanako Suzuki
  • 2010.03.10
    Student Encouragement Award @ 72nd National Convention of IPSJ 2010, 50th Anniversary.

    Hideaki Uchida, Sachiyo Arai. Learning Strategy of Effective Information Services for Indirect Traffic Control.(Japanese)

Copyright © 2004 Laboratory of Urban Intelligence & Information Systems
Department of Urban Environment Systems, Graduate School of Science and Engineering, Chiba University. All rights reserved.

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