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Takumi Aotani
Takumi Aotani
Verified email at meiji.ac.jp - Homepage
Title
Cited by
Cited by
Year
Bottom-up multi-agent reinforcement learning by reward shaping for cooperative-competitive tasks
T Aotani, T Kobayashi, K Sugimoto
Applied Intelligence 51 (7), 4434-4452, 2021
172021
Meta-optimization of bias-variance trade-off in stochastic model learning
T Aotani, T Kobayashi, K Sugimoto
IEEE Access 9, 148783-148799, 2021
142021
Reward-punishment actor-critic algorithm applying to robotic non-grasping manipulation
T Kobayashi, T Aotani, JR Guadarrama-Olvera, E Dean-Leon, G Cheng
2019 Joint IEEE 9th International Conference on Development and Learning and …, 2019
72019
Design of restricted normalizing flow towards arbitrary stochastic policy with computational efficiency
T Kobayashi, T Aotani
Advanced Robotics 37 (12), 719-736, 2023
42023
Bottom-up multi-agent reinforcement learning for selective cooperation
T Aotani, T Kobayashi, K Sugimoto
2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2018
32018
Cooperative Transport by Manipulators with Uncertainty-Aware Model-Based Reinforcement Learning
T Aotani, T Kobayashi
2024 IEEE/SICE International Symposium on System Integration (SII), 959-964, 2024
12024
Special Issue on Control and Applications of Multi-Agent Systems
K Osuka, Y Tsunoda, W Imahayashi, T Aotani
Journal of Robotics and Mechatronics 36 (3), 507-507, 2024
2024
Bottom-Up Multi-Agent Reinforcement Learning for Complexity and Uncertainty
青谷拓海, アオタニタクミ
Nara Institute of Science and Technology, 2022
2022
Restricted Normalizing Flow and Application to Reinforcement Learning
T KOBAYASHI, T AOTANI
ロボティクスシンポジア予稿集 27, 129-132, 2022
2022
Stochastic Model Learning under Bias-Variance Tradeoff
T AOTANI, T KOBAYASHI, K SUGIMOTO
自律分散システム・シンポジウム (CD-ROM) 33, 1-2, 2021
2021
確率モデル学習のためのバイアス・バリアンスを調整する方策勾配型メタ最適化
T AOTANI, T KOBAYASHI, K SUGIMOTO
日本ロボット学会学術講演会予稿集 (CD-ROM) 39, 2-5, 2021
2021
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