| 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 | 17 | 2021 |
| Meta-optimization of bias-variance trade-off in stochastic model learning T Aotani, T Kobayashi, K Sugimoto IEEE Access 9, 148783-148799, 2021 | 14 | 2021 |
| 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 | 7 | 2019 |
| Design of restricted normalizing flow towards arbitrary stochastic policy with computational efficiency T Kobayashi, T Aotani Advanced Robotics 37 (12), 719-736, 2023 | 4 | 2023 |
| 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 | 3 | 2018 |
| 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 | 1 | 2024 |
| 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 |
