| Can Increasing Input Dimensionality Improve Deep Reinforcement Learning? K Ota, T Oiki, DK Jha, T Mariyama, D Nikovski ICML2020, 2020 | 51 | 2020 |
| Training larger networks for deep reinforcement learning K Ota, DK Jha, A Kanezaki arXiv preprint arXiv:2102.07920, 2021 | 40 | 2021 |
| Trajectory Optimization for Unknown Constrained Systems using Reinforcement Learning K Ota, DK Jha, T Oiki, M Miura, T Nammoto, D Nikovski, T Mariyama IROS2019, 2019 | 31 | 2019 |
| Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path K Ota, Y Sasaki, DK Jha, Y Yoshiyasu, A Kanezaki IROS2020, 2020 | 26 | 2020 |
| Object memory transformer for object goal navigation R Fukushima, K Ota, A Kanezaki, Y Sasaki, Y Yoshiyasu 2022 International Conference on Robotics and Automation (ICRA), 11288-11294, 2022 | 25 | 2022 |
| Data-efficient learning for complex and real-time physical problem solving using augmented simulation K Ota, DK Jha, D Romeres, J van Baar, KA Smith, T Semitsu, T Oiki, ... IEEE Robotics and Automation Letters 6 (2), 4241-4248, 2021 | 16 | 2021 |
| OPIRL: Sample efficient off-policy inverse reinforcement learning via distribution matching H Hoshino, K Ota, A Kanezaki, R Yokota 2022 International Conference on Robotics and Automation (ICRA), 448-454, 2022 | 13 | 2022 |
| Deep Reactive Planning in Dynamic Environments K Ota, DK Jha, T Onishi, A Kanezaki, Y Yoshiyasu, Y Sasaki, T Mariyama, ... CoRL2020, 2020 | 8 | 2020 |
| tf2rl K Ota https://github.com/keiohta/tf2rl, 2020 | 8 | 2020 |
| Towards Human-Level Learning of Complex Physical Puzzles K Ota, DK Jha, D Romeres, J van Baar, KA Smith, T Semitsu, T Oiki, ... RAL+ICRA2021, 2020 | 4 | 2020 |
| Fault Tolerant Circuit Design for Low-cost and Multi-Functional Attitude Sensor Using Real-time Image Recognition Y Kikuya, M Matsushita, M Koga, K Ohta, Y Hayashi, T Koike, T Ozawa, ... 31st International Symposium on Space Technology and Science, 3-9, 2017 | 4 | 2017 |
| Tactile-Filter: Interactive Tactile Perception for Part Mating K Ota, DK Jha, HY Tung, JB Tenenbaum arXiv preprint arXiv:2303.06034, 2023 | 3 | 2023 |
| What We Learned from the Tokyo Tech 50 kg-satellite" TSUBAME" Y Yatsu, N Kawai, S KIMURA, M MATSUSHITA, S KAWAJIRI, K TAWARA, ... | 3 | 2017 |
| H-SAUR: Hypothesize, simulate, act, update, and repeat for understanding object articulations from interactions K Ota, HY Tung, KA Smith, A Cherian, TK Marks, A Sullivan, A Kanezaki, ... 2023 IEEE International Conference on Robotics and Automation (ICRA), 7272-7278, 2023 | 2 | 2023 |
| Tactile Estimation of Extrinsic Contact Patch for Stable Placement K Ota, DK Jha, KM Jatavallabhula, A Kanezaki, JB Tenenbaum arXiv preprint arXiv:2309.14552, 2023 | 1 | 2023 |
| Style-transfer based Speech and Audio-visual Scene understanding for Robot Action Sequence Acquisition from Videos C Hori, P Peng, D Harwath, X Liu, K Ota, S Jain, R Corcodel, D Jha, ... arXiv preprint arXiv:2306.15644, 2023 | 1 | 2023 |
| Tactile Pose Feedback for Closed-loop Manipulation Tasks K Ota, S Jain, M Zhang, DK Jha Robotics: Science and Systems workshop, 2023 | 1 | 2023 |
| Moving object control device, moving object control learning device, and moving object control method K Ota, T Nammoto US Patent App. 17/297,881, 2022 | 1 | 2022 |
| 深層学習を応用した革新的姿勢センサの実証 谷津陽一， 吉井健敏， 村木雄太郎， 針田聖平， 太田佳， 松下将典， ... 宇宙科学技術連合講演会講演集 60, 6p, 2016 | 1 | 2016 |
| 深層学習を用いた軌道上実時間衛星画像分類 太田佳， 谷津陽一， 松永三郎 宇宙科学技術連合講演会講演集 60, 6p, 2016 | 1 | 2016 |
Devesh K. JhaPrincipal Research Scientist, MERLVerified email at merl.com
