Sachiyo Arai - RankMe

54 papers A 2B 6C 1Misc 1Journal 15Unranked 26

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Autonomous Reward Shaping via Self-Generated Trajectories for Sparse-Reward Reinforcement Learning. IEEE Access Kota Minoshima, Sachiyo Arai
2025	—	`conf`	A Scalable Reinforcement Learning via Event-Triggered Approach for Railway Systems. IIAI-AAI-Winter Hayato Chujo, Sachiyo Arai
2025	J	`jnl`	Coordinated Traffic-Signal Control of Wide Area Network via Hierarchical Reinforcement Learning. IEEE Access Takumi Saiki, Sachiyo Arai
2025	—	`conf`	Dense Reward Estimation for Decision Transformers Using Adversarial Inverse Reinforcement Learning. IIAI-AAI-Winter Kento Nojiri, Sachiyo Arai
2025	—	`conf`	From Safety to Guidance: CBF-Augmented Reinforcement Learning with Guiding Barrier Function. IIAI-AAI-Winter Kento Nagata, Sachiyo Arai
2025	—	`conf`	Improving Learning Performance of Decision Transformer via Attention-Based Reward Shaping. IIAI-AAI-Winter Yuta Ohno, Sachiyo Arai
2025	—	`conf`	Multi-Agent Voltage Control for Efficient Regenerative Power Utilization in Railway Systems. IIAI-AAI-Winter Yuki Sano, Sachiyo Arai
2025	—	`conf`	Self-Supervised Reward Shaping via Dynamic Potential-Based Approach. IIAI-AAI-Winter Kota Minoshima, Sachiyo Arai
2024	—	`conf`	Achieving Preferable Agreement by Utilizing offline Negotiation dialogue on Decision Transformer. ICA Yuta Ohno, Sachiyo Arai
2024	—	`conf`	Action-Integrated QAttn: Introducing Action Values into Value Decomposition for Effective Cooperation among Heterogenous Agents. ICA Naohiro Takakuwa, Sachiyo Arai
2024	J	`jnl`	Estimating Objective Weights of Pareto-Optimal Policies for Multi-Objective Sequential Decision-Making. J. Adv. Comput. Intell. Intell. Informatics Akiko Ikenaga, Sachiyo Arai
2024	J	`jnl`	Estimation of Different Reward Functions Latent in Trajectory Data. J. Adv. Comput. Intell. Intell. Informatics Masaharu Saito, Sachiyo Arai
2024	—	`conf`	Event-triggered Reinforcement Learning to Obtain Stable Train Operation Strategies. ICA Hayato Chujo, Sachiyo Arai
2024	J	`jnl`	Gamma-Regression-Based Inverse Reinforcement Learning From Suboptimal Demonstrations. IEEE Access Daiko Kishikawa, Sachiyo Arai
2024	J	`jnl`	Learning and Selection of Pareto Optimal Policies Matching User Preferences. IEEE Access Akinori Tamura, Sachiyo Arai
2024	J	`jnl`	Neuroevolutionary diversity policy search for multi-objective reinforcement learning. Inf. Sci. Dan Zhou, Jiqing Du, Sachiyo Arai
2024	—	`conf`	On-Time and Energy-Saving Optimization of Train Auto Driving Based on Reinforcement Learning. SCIS/ISIS Cheng Liu, Sachiyo Arai
2024	—	`conf`	Self-Refinement of Reward Function by Utilizing Failure Trajectories. ICA Kota Minoshima, Sachiyo Arai
2023	J	`jnl`	Efficient Elitist Cooperative Evolutionary Algorithm for Multi-Objective Reinforcement Learning. IEEE Access Dan Zhou, Jiqing Du, Sachiyo Arai
2023	J	`jnl`	Efficient search of decision makers' region of interest by using preference directions in multi-objective coevolutionary algorithm. Swarm Evol. Comput. Dan Zhou, Jiqing Du, Sachiyo Arai
2023	J	`jnl`	Flexible Traffic Signal Control via Multi-Objective Reinforcement Learning. IEEE Access Takumi Saiki, Sachiyo Arai
2023	—	`ed.`	New Frontiers in Artificial Intelligence - JSAI-isAI 2022 Workshop, JURISIN 2022, and JSAI 2022 International Session, Kyoto, Japan, June 12-17, 2022, Revised Selected Papers JSAI-isAI Workshops Yasufumi Takama, Katsutoshi Yada, Ken Satoh, Sachiyo Arai
2023	J	`jnl`	Objective Weight Interval Estimation Using Adversarial Inverse Reinforcement Learning. IEEE Access Naoya Takayama, Sachiyo Arai
2022	—	`conf`	Multi-Objective Deep Inverse Reinforcement Learning through Direct Weights and Rewards Estimation. SICE Daiko Kishikawa, Sachiyo Arai
2022	J	`jnl`	Multi-objective deep inverse reinforcement learning for weight estimation of objectives. Artif. Life Robotics Naoya Takayama, Sachiyo Arai
2022	—	`conf`	Switching Policies based on Multi-Objective Reinforcement Learning for Adaptive Traffic Signal Control. SICE Takumi Saiki, Sachiyo Arai
2021	J	`jnl`	Estimation of personal driving style via deep inverse reinforcement learning. Artif. Life Robotics Daiko Kishikawa, Sachiyo Arai
2020	A	`conf`	Mini-batch Bayesian Inverse Reinforcement Learning for Multiple Dynamics. AAMAS Yusuke Nakata, Sachiyo Arai
2019	—	`conf`	Comfortable Driving by using Deep Inverse Reinforcement Learning. ICA Daiko Kishikawa, Sachiyo Arai
2019	—	`conf`	Dynamic pricing method to maximize utilization of one-way car sharing service. ICA Toya Kamatani, Yusuke Nakata, Sachiyo Arai
2019	—	`conf`	Modeling multi-objectivization mechanism in multi-agent domain. ICA Kousuke Nishi, Sachiyo Arai
2018	—	`conf`	Charge Control of Regenerative Power for Energy Saving in Railway Systems. ICA Yasuhiro Yoshida, Sachiyo Arai
2018	—	`conf`	Detection of Features Affording a Certain Action via Analysis of CNN. ICA Yusuke Nakata, Yuki Kitazato, Sachiyo Arai
2018	—	`conf`	Estimation of Reward Function Maximizing Learning Efficiency in Inverse Reinforcement Learning. ICAART (2) Yuki Kitazato, Sachiyo Arai
2018	A	`conf`	Estimation of the heterogeneous strategies from action log. GECCO Keiichi Namikoshi, Sachiyo Arai
2018	—	`conf`	Inverse Reinforcement Learning Approach for Elicitation of Preferences in Multi-objective Sequential Optimization. ICA Akiko Ikenaga, Sachiyo Arai
2018	—	`conf`	Learning Cooperative Policy among Self-Driving Vehicles to Relieve Traffic Jams. ATT@IJCAI Shota Ishikawa, Sachiyo Arai
2018	—	`ed.`	New Frontiers in Artificial Intelligence - JSAI-isAI Workshops, JURISIN, SKL, AI-Biz, LENLS, AAA, SCIDOCA, kNeXI, Tsukuba, Tokyo, Japan, November 13-15, 2017, Revised Selected Papers JSAI-isAI Workshops Sachiyo Arai, Kazuhiro Kojima, Koji Mineshima, Daisuke Bekki, Ken Satoh, Yuiko Ohta
2017	—	`ed.`	New Frontiers in Artificial Intelligence - JSAI-isAI 2016 Workshops, LENLS, HAT-MASH, AI-Biz, JURISIN and SKL, Kanagawa, Japan, November 14-16, 2016, Revised Selected Papers JSAI-isAI Workshops Setsuya Kurahashi, Yuiko Ohta, Sachiyo Arai, Ken Satoh, Daisuke Bekki
2016	—	`conf`	Cooperative Learning of a Driving Strategy to Suppress Phantom Traffic Jams. ICA Shota Ishikawa, Sachiyo Arai
2016	B	`conf`	Faster Convergence to Cooperative Policy by Autonomous Detection of Interference States in Multiagent Reinforcement Learning. PRICAI Sachiyo Arai, Haichi Xu
2016	—	`conf`	Parameter Estimation of Multi-objective Reinforcement Learning to Reach Arbitrary Pareto Solution. ICA Ryosuke Saitake, Sachiyo Arai
2015	Misc	`conf`	Evaluating advantage of sharing information among vehicles toward avoiding phantom traffic jam. WSC Shota Ishikawa, Sachiyo Arai
2014	J	`jnl`	Encouragement of Right Social Norms by Inverse Reinforcement Learning. J. Inf. Process. Sachiyo Arai, Kanako Suzuki
2009	J	`jnl`	Information Theoretic Approach for Measuring Interaction in Multiagent Domain. J. Adv. Comput. Intell. Intell. Informatics Sachiyo Arai, Yoshihisa Ishigaki
2008	B	`conf`	Measurement of Underlying Cooperation in Multiagent Reinforcement Learning. PRIMA Sachiyo Arai, Yoshihisa Ishigaki, Hironori Hirata
2006	B	`conf`	Teamwork Formation for PRIMA Nobuyuki Tanaka, Sachiyo Arai
2005	B	`conf`	Guiding Inference Through Relational Reinforcement Learning. ILP Nima Asgharbeygi, Negin Nejati, Pat Langley, Sachiyo Arai
2003	B	`conf`	Semantic Web Service Architecture Using Multi-agent Scenario Description. PRIMA Sachiyo Arai, Yohei Murakami, Yuki Sugimoto, Toru Ishida
2000	B	`conf`	Experience-Based Reinforcement Learning to Acquire Effective Behavior in a Multi-agent Domain. PRICAI Sachiyo Arai, Katia P. Sycara, Terry R. Payne
2000	—	`conf`	Multi-Agent Reinforcement Learning for Planning and Scheduling Multiple Goals. ICMAS Sachiyo Arai, Katia P. Sycara, Terry R. Payne
2000	—	`conf`	Multi-agent reinforcement learning for planning and conflict resolution in a dynamic domain. Agents Sachiyo Arai, Katia P. Sycara
1999	C	`conf`	Multi-agent Reinforcement Learning for Crane Control Problem: Designing Rewards for Conflict Resolution. ISADS Sachiyo Arai, Kazuteru Miyazaki, Shigenobu Kobayashi
1995	—	`conf`	Rational Balancing of Planning and Communication in the Dynamic Multi-Agents World. ICMAS Sachiyo Arai