SLAM problem via H∞ filter with compensation for intermittent observation. - Yoshihiro Okawa; Toru Namerikawa (AMC, 2014)

Regional demand-supply management based on dynamic pricing in multi-period energy market. - Yoshihiro Okawa; Toru Namerikawa (CDC, 2015)

Dynamic electricity pricing via the H∞ control considering uncertainties in market participants' behavior. - Yoshihiro Okawa; Toru Namerikawa (ECC, 2015)

Real-Time Pricing Mechanism for Electricity Market With Built-In Incentive for Participation. - Toru Namerikawa; Norio Okubo; Ryutaro Sato; Yoshihiro Okawa; Masahiro Ono (IEEE Trans. Smart Grid, 2015)

Optimal power demand management among consumers with aggregator considering state and control constraints. - Yoshihiro Okawa; Toru Namerikawa (CDC, 2016)

Distributed power supply-demand management based on negawatt trading with energy storage system. - Yoshihiro Okawa; Toru Namerikawa (ECC, 2016)

Passivity-based stability analysis of dynamic electricity pricing with power flow. - Yoshihiro Okawa; Toru Namerikawa; Zhihua Qu (CDC, 2017)

Distributed Optimal Power Management via Negawatt Trading in Real-Time Electricity Market. - Yoshihiro Okawa; Toru Namerikawa (IEEE Trans. Smart Grid, 2017)

Control Approach Combining Reinforcement Learning and Model-Based Control. - Yoshihiro Okawa; Tomotake Sasaki; Hidenao Iwane (ASCC, 2019)

Concept Drift Detection via Boundary Shrinking. - Yoshihiro Okawa; Kenichi Kobayashi 001 (IJCNN, 2021)

Automatic Exploration Process Adjustment for Safe Reinforcement Learning with Joint Chance Constraint Satisfaction. - Yoshihiro Okawa; Tomotake Sasaki; Hidenao Iwane (CoRR, 2021)

Model-free two-step design for improving transient learning performance in nonlinear optimal regulator problems. - Yuka Masumoto; Yoshihiro Okawa; Tomotake Sasaki; Yutaka Hori (CoRR, 2021)

Multi-Step Test-Time Adaptation with Entropy Minimization and Pseudo-Labeling. - Hiroaki Kingetsu; Kenichi Kobayashi 001; Yoshihiro Okawa; Yasuto Yokota; Katsuhito Nakazawa (ICIP, 2022)

Safe Exploration Method for Reinforcement Learning Under Existence of Disturbance. - Yoshihiro Okawa; Tomotake Sasaki; Hitoshi Yanami; Toru Namerikawa (ECML/PKDD (4), 2022)

Channel Capacity Prediction Using Point of Interest for Design and Operation Support of Network. - Natsuki Morita; Hayato Dan; Yoshihiro Okawa; Masatoshi Ogawa (VTC2023-Spring, 2023)

Transfer Learning With Less Negative Transfer for Multi-Agent Reinforcement Learning: Application and Evaluation in Base Station Control. - Masanobu Namiki; Yoshihiro Okawa; Natsuki Morita; Jun Kakuta; Masatoshi Ogawa (PIMRC, 2024)

Traffic Distribution Generation Considering Spatial Continuity for Base Station Sleep Control. - Natsuki Morita; Yoshihiro Okawa; Jun Kakuta; Masatoshi Ogawa (VTC Fall, 2024)

Optimal Base Station Sleep Control via Multi-Agent Reinforcement Learning with Data-Driven Radio Environment Map Calibration. - Yoshihiro Okawa; Natsuki Morita; Jun Kakuta; Masatoshi Ogawa (VTC Spring, 2024)