Towards Verification and Validation in Multiagent-Based Systems and Simulations: Analyzing Different Learning Bargaining Agents. - Keiki Takadama; Yutaka L. Suematsu; Norikazu Sugimoto; Norberto Eiji Nawa; Katsunori Shimohara (MABS, 2003)

Cross-Element Validation in Multiagent-based Simulation: Switching Learning Mechanisms in Agents. - Keiki Takadama; Yutaka L. Suematsu; Norikazu Sugimoto; Norberto Eiji Nawa; Katsunori Shimohara (J. Artif. Soc. Soc. Simul., 2003)

Phase-dependent trajectory optimization for CPG-based biped walking using path integral reinforcement learning. - Norikazu Sugimoto; Jun Morimoto (Humanoids, 2011)

Switching multiple LQG controllers based on Bellman's optimality principle: Using full-state feedback to control a humanoid robot. - Norikazu Sugimoto; Jun Morimoto (IROS, 2011)

Brain-controlled exoskeleton robot for BMI rehabilitation. - Tomoyuki Noda; Norikazu Sugimoto; Jun-ichiro Furukawa; Masa-aki Sato; Sang-Ho Hyon; Jun Morimoto (Humanoids, 2012)

Integrating surface-based hypotheses and manipulation for autonomous segmentation and learning of object representations. - Ales Ude; David Schiebener; Norikazu Sugimoto; Jun Morimoto (ICRA, 2012)

MOSAIC for Multiple-Reward Environments. - Norikazu Sugimoto; Masahiko Haruno; Kenji Doya; Mitsuo Kawato (Neural Comput., 2012)

The eMOSAIC model for humanoid robot control. - Norikazu Sugimoto; Jun Morimoto; Sang-Ho Hyon; Mitsuo Kawato (Neural Networks, 2012)

Trajectory-model-based reinforcement learning: Application to bimanual humanoid motor learning with a closed-chain constraint. - Norikazu Sugimoto; Jun Morimoto (Humanoids, 2013)

BCI Control of Whole-Body Simulated Humanoid by Combining Motor Imagery Detection and Autonomous Motion Planning. - Karim Bouyarmane; Joris Vaillant; Norikazu Sugimoto; François Keith; Jun-ichiro Furukawa; Jun Morimoto (ICONIP (1), 2013)

Off-line path integral reinforcement learning using stochastic robot dynamics approximated by sparse pseudo-input Gaussian processes: Application to humanoid robot motor learning in the real environment. - Norikazu Sugimoto; Jun Morimoto (ICRA, 2013)

Motion capture and reinforcement learning of dynamically stable humanoid movement primitives. - Rok Vuga; Matjaz Ogrinc; Andrej Gams; Tadej Petric; Norikazu Sugimoto; Ales Ude; Jun Morimoto (ICRA, 2013)

Efficient reuse of previous experiences in humanoid motor learning. - Norikazu Sugimoto; Voot Tangkaratt; Thijs Wensveen; Tingting Zhao 001; Masashi Sugiyama; Jun Morimoto (Humanoids, 2014)

Efficient Reuse of Previous Experiences to Improve Policies in Real Environment. - Norikazu Sugimoto; Voot Tangkaratt; Thijs Wensveen; Tingting Zhao 001; Masashi Sugiyama; Jun Morimoto (CoRR, 2014)

Trial and Error: Using Previous Experiences as Simulation Models in Humanoid Motor Learning. - Norikazu Sugimoto; Voot Tangkaratt; Thijs Wensveen; Tingting Zhao 001; Masashi Sugiyama; Jun Morimoto (IEEE Robotics Autom. Mag., 2016)

Curriculum-based humanoid robot identification using large-scale human motion database. - Sunhwi Kang; Koji Ishihara; Norikazu Sugimoto; Jun Morimoto (Frontiers Robotics AI, 2023)

Goal-Conditioned Terminal Value Estimation for Real-time and Multi-task Model Predictive Control. - Mitsuki Morita; Satoshi Yamamori; Satoshi Yagi; Norikazu Sugimoto; Jun Morimoto (CoRR, 2024)