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2020 – today
- 2024
[j2]Kei Ota
, Devesh K. Jha, Asako Kanezaki:
A framework for training larger networks for deep Reinforcement learning. Mach. Learn. 113(9): 6115-6139 (2024)- [c11]Boyuan Liang, Kei Ota, Masayoshi Tomizuka, Devesh K. Jha:
Robust In-Hand Manipulation with Extrinsic Contacts. ICRA 2024: 6544-6550 - [c10]Kei Ota, Devesh K. Jha, Krishna Murthy Jatavallabhula, Asako Kanezaki, Joshua B. Tenenbaum:
Tactile Estimation of Extrinsic Contact Patch for Stable Placement. ICRA 2024: 13876-13882 - [i14]Boyuan Liang, Kei Ota, Masayoshi Tomizuka, Devesh K. Jha:
Robust In-Hand Manipulation with Extrinsic Contacts. CoRR abs/2403.18960 (2024) - [i13]Kei Ota, Devesh K. Jha, Siddarth Jain, Bill Yerazunis, Radu Corcodel, Yash Shukla, Antonia Bronars, Diego Romeres:
Autonomous Robotic Assembly: From Part Singulation to Precise Assembly. CoRR abs/2406.05331 (2024) - 2023
- [c9]Kei Ota, Hsiao-Yu Tung, Kevin A. Smith, Anoop Cherian, Tim K. Marks, Alan Sullivan, Asako Kanezaki, Joshua B. Tenenbaum:
H-SAUR: Hypothesize, Simulate, Act, Update, and Repeat for Understanding Object Articulations from Interactions. ICRA 2023: 7272-7278 - [c8]Chiori Hori, Puyuan Peng, David Harwath, Xinyu Liu, Kei Ota, Siddarth Jain, Radu Corcodel, Devesh K. Jha, Diego Romeres, Jonathan Le Roux:
Style-transfer based Speech and Audio-visual Scene understanding for Robot Action Sequence Acquisition from Videos. INTERSPEECH 2023: 4663-4667 - [c7]Kei Ota, Devesh K. Jha, Hsiao-Yu Tung, Joshua B. Tenenbaum:
Tactile-Filter: Interactive Tactile Perception for Part Mating. Robotics: Science and Systems 2023 - [i12]Kei Ota, Devesh K. Jha, Hsiao-Yu Tung, Joshua B. Tenenbaum:
Tactile-Filter: Interactive Tactile Perception for Part Mating. CoRR abs/2303.06034 (2023) - [i11]Chiori Hori, Puyuan Peng, David Harwath, Xinyu Liu, Kei Ota, Siddarth Jain, Radu Corcodel, Devesh K. Jha, Diego Romeres, Jonathan Le Roux:
Style-transfer based Speech and Audio-visual Scene Understanding for Robot Action Sequence Acquisition from Videos. CoRR abs/2306.15644 (2023) - [i10]Kei Ota, Devesh K. Jha, Krishna Murthy Jatavallabhula, Asako Kanezaki, Joshua B. Tenenbaum:
Tactile Estimation of Extrinsic Contact Patch for Stable Placement. CoRR abs/2309.14552 (2023) - 2022
- [c6]Hana Hoshino, Kei Ota, Asako Kanezaki, Rio Yokota:
OPIRL: Sample Efficient Off-Policy Inverse Reinforcement Learning via Distribution Matching. ICRA 2022: 448-454 - [c5]Rui Fukushima, Kei Ota, Asako Kanezaki, Yoko Sasaki, Yusuke Yoshiyasu:
Object Memory Transformer for Object Goal Navigation. ICRA 2022: 11288-11294 - [i9]Rui Fukushima, Kei Ota, Asako Kanezaki, Yoko Sasaki, Yusuke Yoshiyasu:
Object Memory Transformer for Object Goal Navigation. CoRR abs/2203.14708 (2022) - [i8]Kei Ota, Hsiao-Yu Tung, Kevin A. Smith, Anoop Cherian, Tim K. Marks, Alan Sullivan, Asako Kanezaki, Joshua B. Tenenbaum:
H-SAUR: Hypothesize, Simulate, Act, Update, and Repeat for Understanding Object Articulations from Interactions. CoRR abs/2210.12521 (2022) - 2021
- [j1]Kei Ota, Devesh K. Jha, Diego Romeres, Jeroen van Baar, Kevin A. Smith, Takayuki Semitsu, Tomoaki Oiki, Alan Sullivan, Daniel Nikovski, Joshua B. Tenenbaum:
Data-Efficient Learning for Complex and Real-Time Physical Problem Solving Using Augmented Simulation. IEEE Robotics Autom. Lett. 6(2): 4241-4248 (2021) - [i7]Kei Ota, Devesh K. Jha, Asako Kanezaki:
Training Larger Networks for Deep Reinforcement Learning. CoRR abs/2102.07920 (2021) - [i6]Hana Hoshino, Kei Ota, Asako Kanezaki, Rio Yokota:
OPIRL: Sample Efficient Off-Policy Inverse Reinforcement Learning via Distribution Matching. CoRR abs/2109.04307 (2021) - 2020
- [c4]Kei Ota, Devesh K. Jha, Tadashi Onishi, Asako Kanezaki, Yusuke Yoshiyasu, Yoko Sasaki, Toshisada Mariyama, Daniel Nikovski:
Deep Reactive Planning in Dynamic Environments. CoRL 2020: 1943-1957 - [c3]Kei Ota, Tomoaki Oiki, Devesh K. Jha, Toshisada Mariyama, Daniel Nikovski:
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning? ICML 2020: 7424-7433 - [c2]Kei Ota, Yoko Sasaki, Devesh K. Jha, Yusuke Yoshiyasu, Asako Kanezaki:
Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path. IROS 2020: 6061-6068 - [i5]Kei Ota, Tomoaki Oiki, Devesh K. Jha, Toshisada Mariyama, Daniel Nikovski:
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning? CoRR abs/2003.01629 (2020) - [i4]Kei Ota, Yoko Sasaki, Devesh K. Jha, Yusuke Yoshiyasu, Asako Kanezaki:
Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path. CoRR abs/2003.01641 (2020) - [i3]Kei Ota, Devesh K. Jha, Tadashi Onishi, Asako Kanezaki, Yusuke Yoshiyasu, Yoko Sasaki, Toshisada Mariyama, Daniel Nikovski:
Deep Reactive Planning in Dynamic Environments. CoRR abs/2011.00155 (2020) - [i2]Kei Ota, Devesh K. Jha, Diego Romeres, Jeroen van Baar, Kevin A. Smith, Takayuki Semitsu, Tomoaki Oiki, Alan Sullivan, Daniel Nikovski, Joshua B. Tenenbaum:
Towards Human-Level Learning of Complex Physical Puzzles. CoRR abs/2011.07193 (2020)
2010 – 2019
- 2019
- [c1]Kei Ota, Devesh K. Jha, Tomoaki Oiki, Mamoru Miura, Takashi Nammoto, Daniel Nikovski, Toshisada Mariyama:
Trajectory Optimization for Unknown Constrained Systems using Reinforcement Learning. IROS 2019: 3487-3494 - [i1]Kei Ota, Devesh K. Jha, Tomoaki Oiki, Mamoru Miura, Takashi Nammoto, Daniel Nikovski, Toshisada Mariyama:
Trajectory Optimization for Unknown Constrained Systems using Reinforcement Learning. CoRR abs/1903.05751 (2019)
Coauthor Index
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last updated on 2024-08-23 18:31 CEST by the dblp team
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