Sachiyo Arai

According to our database, Sachiyo Arai authored at least 38 papers between 1995 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Estimation of Different Reward Functions Latent in Trajectory Data.

Masaharu Saito, Sachiyo Arai

J. Adv. Comput. Intell. Intell. Informatics, March, 2024

Estimating Objective Weights of Pareto-Optimal Policies for Multi-Objective Sequential Decision-Making.

Akiko Ikenaga, Sachiyo Arai

J. Adv. Comput. Intell. Intell. Informatics, March, 2024

Neuroevolutionary diversity policy search for multi-objective reinforcement learning.

Dan Zhou, Jiqing Du, Sachiyo Arai

Inf. Sci., February, 2024

Learning and Selection of Pareto Optimal Policies Matching User Preferences.

Akinori Tamura, Sachiyo Arai

IEEE Access, 2024

Gamma-Regression-Based Inverse Reinforcement Learning From Suboptimal Demonstrations.

Daiko Kishikawa, Sachiyo Arai

IEEE Access, 2024

2023

Efficient search of decision makers' region of interest by using preference directions in multi-objective coevolutionary algorithm.

Dan Zhou, Jiqing Du, Sachiyo Arai

Swarm Evol. Comput., August, 2023

Efficient Elitist Cooperative Evolutionary Algorithm for Multi-Objective Reinforcement Learning.

Dan Zhou, Jiqing Du, Sachiyo Arai

IEEE Access, 2023

Objective Weight Interval Estimation Using Adversarial Inverse Reinforcement Learning.

Naoya Takayama, Sachiyo Arai

IEEE Access, 2023

Flexible Traffic Signal Control via Multi-Objective Reinforcement Learning.

Takumi Saiki, Sachiyo Arai

IEEE Access, 2023

2022

Multi-objective deep inverse reinforcement learning for weight estimation of objectives.

Naoya Takayama, Sachiyo Arai

Artif. Life Robotics, 2022

Switching Policies based on Multi-Objective Reinforcement Learning for Adaptive Traffic Signal Control.

Takumi Saiki, Sachiyo Arai

Proceedings of the 61st IEEE Annual Conference of the Society of Instrument and Control Engineers, 2022

Multi-Objective Deep Inverse Reinforcement Learning through Direct Weights and Rewards Estimation.

Daiko Kishikawa, Sachiyo Arai

Proceedings of the 61st IEEE Annual Conference of the Society of Instrument and Control Engineers, 2022

2021

Estimation of personal driving style via deep inverse reinforcement learning.

Daiko Kishikawa, Sachiyo Arai

Artif. Life Robotics, 2021

2020

Mini-batch Bayesian Inverse Reinforcement Learning for Multiple Dynamics.

Yusuke Nakata, Sachiyo Arai

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Modeling multi-objectivization mechanism in multi-agent domain.

Kousuke Nishi, Sachiyo Arai

Proceedings of the IEEE International Conference on Agents, 2019

Comfortable Driving by using Deep Inverse Reinforcement Learning.

Daiko Kishikawa, Sachiyo Arai

Proceedings of the IEEE International Conference on Agents, 2019

Dynamic pricing method to maximize utilization of one-way car sharing service.

Toya Kamatani, Yusuke Nakata, Sachiyo Arai

Proceedings of the IEEE International Conference on Agents, 2019

2018

Learning Cooperative Policy among Self-Driving Vehicles to Relieve Traffic Jams.

Shota Ishikawa, Sachiyo Arai

Proceedings of the Tenth International Workshop on Agents in Traffic and Transportation (ATT 2018) co-located with with the Federated Artificial Intelligence Meeting, 2018

Estimation of Reward Function Maximizing Learning Efficiency in Inverse Reinforcement Learning.

Yuki Kitazato, Sachiyo Arai

Proceedings of the 10th International Conference on Agents and Artificial Intelligence, 2018

Charge Control of Regenerative Power for Energy Saving in Railway Systems.

Yasuhiro Yoshida, Sachiyo Arai

Proceedings of the IEEE International Conference on Agents, 2018

Detection of Features Affording a Certain Action via Analysis of CNN.

Yusuke Nakata, Yuki Kitazato, Sachiyo Arai

Proceedings of the IEEE International Conference on Agents, 2018

Inverse Reinforcement Learning Approach for Elicitation of Preferences in Multi-objective Sequential Optimization.

Akiko Ikenaga, Sachiyo Arai

Proceedings of the IEEE International Conference on Agents, 2018

Estimation of the heterogeneous strategies from action log.

Keiichi Namikoshi, Sachiyo Arai

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2016

Faster Convergence to Cooperative Policy by Autonomous Detection of Interference States in Multiagent Reinforcement Learning.

Sachiyo Arai, Haichi Xu

Proceedings of the PRICAI 2016: Trends in Artificial Intelligence, 2016

Parameter Estimation of Multi-objective Reinforcement Learning to Reach Arbitrary Pareto Solution.

Ryosuke Saitake, Sachiyo Arai

Proceedings of the IEEE International Conference on Agents, 2016

Cooperative Learning of a Driving Strategy to Suppress Phantom Traffic Jams.

Shota Ishikawa, Sachiyo Arai

Proceedings of the IEEE International Conference on Agents, 2016

2015

Evaluating advantage of sharing information among vehicles toward avoiding phantom traffic jam.

Shota Ishikawa, Sachiyo Arai

Proceedings of the 2015 Winter Simulation Conference, 2015

2014

Encouragement of Right Social Norms by Inverse Reinforcement Learning.

Sachiyo Arai, Kanako Suzuki

J. Inf. Process., 2014

2009

Information Theoretic Approach for Measuring Interaction in Multiagent Domain.

Sachiyo Arai, Yoshihisa Ishigaki

J. Adv. Comput. Intell. Intell. Informatics, 2009

2008

Measurement of Underlying Cooperation in Multiagent Reinforcement Learning.

Sachiyo Arai, Yoshihisa Ishigaki, Hironori Hirata

Proceedings of the Intelligent Agents and Multi-Agent Systems, 2008

2006

Teamwork Formation for <i>Keepaway</i> in Robotics Soccer (Reinforcement Learning Approach).

Nobuyuki Tanaka, Sachiyo Arai

Proceedings of the Agent Computing and Multi-Agent Systems, 2006

2005

Guiding Inference Through Relational Reinforcement Learning.

Nima Asgharbeygi, Negin Nejati, Pat Langley, Sachiyo Arai

Proceedings of the Inductive Logic Programming, 15th International Conference, 2005

2003

Semantic Web Service Architecture Using Multi-agent Scenario Description.

Sachiyo Arai, Yohei Murakami, Yuki Sugimoto, Toru Ishida

Proceedings of the Intelligent Agents and Multi-Agent Systems, 2003

2000

Experience-Based Reinforcement Learning to Acquire Effective Behavior in a Multi-agent Domain.

Sachiyo Arai, Katia P. Sycara, Terry R. Payne

Proceedings of the PRICAI 2000, Topics in Artificial Intelligence, 6th Pacific Rim International Conference on Artificial Intelligence, Melbourne, Australia, August 28, 2000

Multi-Agent Reinforcement Learning for Planning and Scheduling Multiple Goals.

Sachiyo Arai, Katia P. Sycara, Terry R. Payne

Proceedings of the 4th International Conference on Multi-Agent Systems, 2000

Multi-agent reinforcement learning for planning and conflict resolution in a dynamic domain.

Sachiyo Arai, Katia P. Sycara

Proceedings of the Fourth International Conference on Autonomous Agents, 2000

1999

Multi-agent Reinforcement Learning for Crane Control Problem: Designing Rewards for Conflict Resolution.

Sachiyo Arai, Kazuteru Miyazaki, Shigenobu Kobayashi

Proceedings of the Fourth International Symposium on Autonomous Decentralized Systems, 1999

1995

Rational Balancing of Planning and Communication in the Dynamic Multi-Agents World.

Sachiyo Arai

Proceedings of the First International Conference on Multiagent Systems, 1995