Multi-Objective Inverse Reinforcement Learning via Non-Negative Matrix Factorization D Kishikawa, S Arai 2021 10th International Congress on Advanced Applied Informatics (IIAI-AAI …, 2021 | 7 | 2021 |
Comfortable driving by using deep inverse reinforcement learning D Kishikawa, S Arai 2019 IEEE International Conference on Agents (ICA), 38-43, 2019 | 6 | 2019 |
Estimation of personal driving style via deep inverse reinforcement learning D Kishikawa, S Arai Artificial Life and Robotics 26, 338-346, 2021 | 5 | 2021 |
Multi-objective deep inverse reinforcement learning through direct weights and rewards estimation D Kishikawa, S Arai 2022 61st Annual Conference of the Society of Instrument and Control …, 2022 | 4 | 2022 |
深層逆強化学習による自動運転の安心走行実現 岸川大航, 荒井幸代 人工知能学会全国大会論文集 第 33 回全国大会 (2019), 3K4J204-3K4J204, 2019 | 2 | 2019 |
伝後光厳天皇筆本『竹取物語』新出断簡とその本文特性 岸川大航 汲古 85, 6-10, 2024 | | 2024 |
Neural scalarisation for multi-objective inverse reinforcement learning D Kishikawa, S Arai SICE Journal of Control, Measurement, and System Integration 16 (1), 140-151, 2023 | | 2023 |
多目的逆強化学習のための報酬行列分解 岸川大航, 荒井幸代 人工知能学会全国大会論文集 第 36 回全国大会 (2022), 4E1GS205-4E1GS205, 2022 | | 2022 |
Deep Inverse Reinforcement Learning with Adversarial One-Class Classification D Kishikawa, S Arai 人工知能学会全国大会論文集 第 35 回 (2021), 3N3IS2e05-3N3IS2e05, 2021 | | 2021 |