E-LIB Suche - Ergebnisse für: Lobos-Tsunekawa, Kenzo

1

Point Cloud Based Reinforcement Learning for Sim-to-Real an..:

, In: 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS),

Lobos-Tsunekawa, Kenzo ; Harada, Tatsuya - p. 5871-5878 , 2020

Link: https://doi.org/10.1109/..

2

Collision Avoidance for Indoor Service Robots Through Multi..:

, In: RoboCup 2019: Robot World Cup XXIII; Lecture Notes in Computer Science,

Leiva, Francisco ; Lobos-Tsunekawa, Kenzo ; Ruiz-del-Solar, Javier - p. 140-153 , 2019

Link: https://doi.org/10.1007/..

3

Accelerating decentralized reinforcement learning of comple..:

Leottau, David L. ; Lobos-Tsunekawa, Kenzo ; Jaramillo, Francisco.
Engineering Applications of Artificial Intelligence. 85 (2019) - p. 243-253 , 2019

Link: https://doi.org/10.1016/..

4

Toward Real-Time Decentralized Reinforcement Learning Using..:

, In: RoboCup 2017: Robot World Cup XXI; Lecture Notes in Computer Science,

Lobos-Tsunekawa, Kenzo ; Leottau, David L. ; Ruiz-del-Solar, Javier - p. 95-107 , 2018

Link: https://doi.org/10.1007/..

5

Using Convolutional Neural Networks in Robots with Limited ..:

, In: RoboCup 2017: Robot World Cup XXI; Lecture Notes in Computer Science,

Cruz, Nicolás ; Lobos-Tsunekawa, Kenzo ; Ruiz-del-Solar, Javier - p. 19-30 , 2018

Link: https://doi.org/10.1007/..

6

MA-Dreamer: Coordination and communication through shared i..:

Lobos-Tsunekawa, Kenzo ; Srinivasan, Akshay ; Spranger, Michael
http://arxiv.org/abs/2204.04687. , 2022

Link: http://arxiv.org/abs/220..

7

Point Cloud Based Reinforcement Learning for Sim-to-Real an..:

Lobos-Tsunekawa, Kenzo ; Harada, Tatsuya
http://arxiv.org/abs/2007.13715. , 2020

Link: http://arxiv.org/abs/200..

8

Using convolutional neural networks in robots with limited ..:

Cruz, Nicolás ; Lobos-Tsunekawa, Kenzo ; Ruiz del Solar, Javier
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Volumen 11175 LNAI, 2018. , 2018

Link: https://doi.org/10.1007/..

9

Toward Real-Time Decentralized Reinforcement Learning using..:

Lobos-Tsunekawa, Kenzo ; Leottau, David L ; Ruiz-del-Solar, Javier
http://arxiv.org/abs/1706.06695. , 2017

Link: http://arxiv.org/abs/170..

10

Using Convolutional Neural Networks in Robots with Limited ..:

Cruz, Nicolás ; Lobos-Tsunekawa, Kenzo ; Ruiz-del-Solar, Javier
http://arxiv.org/abs/1706.06702. , 2017

Link: http://arxiv.org/abs/170..

11

Accelerating decentralized reinforcement learning of comple..:

Leottau, David L ; Lobos Tsunekawa, Kenzo ; Jaramillo, Francisco.
Engineering Applications of Artificial Intelligence 85 (2019) 243–253. , 2019

Link: https://doi.org/10.1016/..

12

Development and disintegration of tapetum-specific lipid-ac..:

Suzuki, Toshiya ; Tsunekawa, Sonomi ; Koizuka, Chie...
Plant Science. 207 (2013) - p. 25-36 , 2013

Link: https://doi.org/10.1016/..

13

Interspecies Differences and Scaling for the Pharmacokineti..:

Tsunekawa, Yoshimi ; Hasegawa, Takaaki ; Nadai, Masayuki..
Journal of Pharmacy and Pharmacology. 44 (2011) 7 - p. 594-599 , 2011

Link: https://doi.org/10.1111/..

14

Clinical Application of the Biotrack 516 System for Determi..:

Tsunekawa, Yoshimi ; Hasegawa, Takaaki ; Nadai, Masayuki...
Therapeutic Drug Monitoring. 18 (1996) 1 - p. 86-91 , 1996

Link: https://doi.org/10.1097/..