Rational Balancing of Planning and Communication in the Dynamic Multi-Agents World. - Sachiyo Arai (ICMAS, 1995)

Multi-agent Reinforcement Learning for Crane Control Problem: Designing Rewards for Conflict Resolution. - Sachiyo Arai; Kazuteru Miyazaki; Shigenobu Kobayashi (ISADS, 1999)

Multi-agent reinforcement learning for planning and conflict resolution in a dynamic domain. - Sachiyo Arai; Katia P. Sycara (Agents, 2000)

Multi-Agent Reinforcement Learning for Planning and Scheduling Multiple Goals. - Sachiyo Arai; Katia P. Sycara; Terry R. Payne (ICMAS, 2000)

Experience-Based Reinforcement Learning to Acquire Effective Behavior in a Multi-agent Domain. - Sachiyo Arai; Katia P. Sycara; Terry R. Payne (PRICAI, 2000)

Semantic Web Service Architecture Using Multi-agent Scenario Description. - Sachiyo Arai; Yohei Murakami; Yuki Sugimoto; Toru Ishida 001 (PRIMA, 2003)

Guiding Inference Through Relational Reinforcement Learning. - Nima Asgharbeygi; Negin Nejati; Pat Langley; Sachiyo Arai (ILP, 2005)

Teamwork Formation for Keepaway in Robotics Soccer (Reinforcement Learning Approach). - Nobuyuki Tanaka; Sachiyo Arai (PRIMA, 2006)

Measurement of Underlying Cooperation in Multiagent Reinforcement Learning. - Sachiyo Arai; Yoshihisa Ishigaki; Hironori Hirata (PRIMA, 2008)

Information Theoretic Approach for Measuring Interaction in Multiagent Domain. - Sachiyo Arai; Yoshihisa Ishigaki (J. Adv. Comput. Intell. Intell. Informatics, 2009)

Encouragement of Right Social Norms by Inverse Reinforcement Learning. - Sachiyo Arai; Kanako Suzuki (J. Inf. Process., 2014)

Evaluating advantage of sharing information among vehicles toward avoiding phantom traffic jam. - Shota Ishikawa; Sachiyo Arai (WSC, 2015)

Cooperative Learning of a Driving Strategy to Suppress Phantom Traffic Jams. - Shota Ishikawa; Sachiyo Arai (ICA, 2016)

Parameter Estimation of Multi-objective Reinforcement Learning to Reach Arbitrary Pareto Solution. - Ryosuke Saitake; Sachiyo Arai (ICA, 2016)

Faster Convergence to Cooperative Policy by Autonomous Detection of Interference States in Multiagent Reinforcement Learning. - Sachiyo Arai; Haichi Xu (PRICAI, 2016)

Estimation of the heterogeneous strategies from action log. - Keiichi Namikoshi; Sachiyo Arai (GECCO, 2018)

Inverse Reinforcement Learning Approach for Elicitation of Preferences in Multi-objective Sequential Optimization. - Akiko Ikenaga; Sachiyo Arai (ICA, 2018)

Detection of Features Affording a Certain Action via Analysis of CNN. - Yusuke Nakata; Yuki Kitazato; Sachiyo Arai (ICA, 2018)

Charge Control of Regenerative Power for Energy Saving in Railway Systems. - Yasuhiro Yoshida; Sachiyo Arai (ICA, 2018)

Estimation of Reward Function Maximizing Learning Efficiency in Inverse Reinforcement Learning. - Yuki Kitazato; Sachiyo Arai (ICAART (2), 2018)

Learning Cooperative Policy among Self-Driving Vehicles to Relieve Traffic Jams. - Shota Ishikawa; Sachiyo Arai (ATT@IJCAI, 2018)

Dynamic pricing method to maximize utilization of one-way car sharing service. - Toya Kamatani; Yusuke Nakata; Sachiyo Arai (ICA, 2019)

Comfortable Driving by using Deep Inverse Reinforcement Learning. - Daiko Kishikawa; Sachiyo Arai (ICA, 2019)

Modeling multi-objectivization mechanism in multi-agent domain. - Kousuke Nishi; Sachiyo Arai (ICA, 2019)

Mini-batch Bayesian Inverse Reinforcement Learning for Multiple Dynamics. - Yusuke Nakata; Sachiyo Arai (AAMAS, 2020)

Estimation of personal driving style via deep inverse reinforcement learning. - Daiko Kishikawa; Sachiyo Arai (Artif. Life Robotics, 2021)

Multi-Objective Deep Inverse Reinforcement Learning through Direct Weights and Rewards Estimation. - Daiko Kishikawa; Sachiyo Arai (SICE, 2022)

Switching Policies based on Multi-Objective Reinforcement Learning for Adaptive Traffic Signal Control. - Takumi Saiki; Sachiyo Arai (SICE, 2022)

Multi-objective deep inverse reinforcement learning for weight estimation of objectives. - Naoya Takayama; Sachiyo Arai (Artif. Life Robotics, 2022)

Flexible Traffic Signal Control via Multi-Objective Reinforcement Learning. - Takumi Saiki; Sachiyo Arai (IEEE Access, 2023)

Objective Weight Interval Estimation Using Adversarial Inverse Reinforcement Learning. - Naoya Takayama; Sachiyo Arai (IEEE Access, 2023)

Efficient Elitist Cooperative Evolutionary Algorithm for Multi-Objective Reinforcement Learning. - Dan Zhou; Jiqing Du; Sachiyo Arai (IEEE Access, 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., 2023)

Event-triggered Reinforcement Learning to Obtain Stable Train Operation Strategies. - Hayato Chujo; Sachiyo Arai (ICA, 2024)

Self-Refinement of Reward Function by Utilizing Failure Trajectories. - Kota Minoshima; Sachiyo Arai (ICA, 2024)

Achieving Preferable Agreement by Utilizing offline Negotiation dialogue on Decision Transformer. - Yuta Ohno; Sachiyo Arai (ICA, 2024)

Action-Integrated QAttn: Introducing Action Values into Value Decomposition for Effective Cooperation among Heterogenous Agents. - Naohiro Takakuwa; Sachiyo Arai (ICA, 2024)

On-Time and Energy-Saving Optimization of Train Auto Driving Based on Reinforcement Learning. - Cheng Liu; Sachiyo Arai (SCIS/ISIS, 2024)

Gamma-Regression-Based Inverse Reinforcement Learning From Suboptimal Demonstrations. - Daiko Kishikawa; Sachiyo Arai (IEEE Access, 2024)

Learning and Selection of Pareto Optimal Policies Matching User Preferences. - Akinori Tamura; Sachiyo Arai (IEEE Access, 2024)

Neuroevolutionary diversity policy search for multi-objective reinforcement learning. - Dan Zhou; Jiqing Du; Sachiyo Arai (Inf. Sci., 2024)

Estimating Objective Weights of Pareto-Optimal Policies for Multi-Objective Sequential Decision-Making. - Akiko Ikenaga; Sachiyo Arai (J. Adv. Comput. Intell. Intell. Informatics, 2024)

Estimation of Different Reward Functions Latent in Trajectory Data. - Masaharu Saito; Sachiyo Arai (J. Adv. Comput. Intell. Intell. Informatics, 2024)

Coordinated Traffic-Signal Control of Wide Area Network via Hierarchical Reinforcement Learning. - Takumi Saiki; Sachiyo Arai (IEEE Access, 2025)