Ich stimme zu, dass diese Seite Cookies verwende. Weitere Informationen finden Sie unter unseren Datenschutzerklärungen .
X
Pertsch, Karl
22  Ergebnisse:
Personensuche X
?
1

iPose: Instance-Aware 6D Pose Estimation of Partly Occluded..:

, In: Computer Vision – ACCV 2018; Lecture Notes in Computer Science,
Hosseini Jafari, Omid ; Mustikovela, Siva Karthik ; Pertsch, Karl.. - p. 477-492 , 2019
Link: https://doi.org/10.1007/..
 
?
2

LiFT: Unsupervised Reinforcement Learning with Foundation M..:

Nam, Taewook ; Lee, Juyong ; Zhang, Jesse...
http://arxiv.org/abs/2312.08958.  , 2023
Link: http://arxiv.org/abs/231..
 
?
3

RT-2: Vision-Language-Action Models Transfer Web Knowledge ..:

Brohan, Anthony ; Brown, Noah ; Carbajal, Justice...
http://arxiv.org/abs/2307.15818.  , 2023
Link: http://arxiv.org/abs/230..
 
?
4

RoboCLIP: One Demonstration is Enough to Learn Robot Polici..:

Sontakke, Sumedh A ; Zhang, Jesse ; Arnold, Sébastien M. R...
http://arxiv.org/abs/2310.07899.  , 2023
Link: http://arxiv.org/abs/231..
 
?
5

Q-Transformer: Scalable Offline Reinforcement Learning via ..:

Chebotar, Yevgen ; Vuong, Quan ; Irpan, Alex...
http://arxiv.org/abs/2309.10150.  , 2023
Link: http://arxiv.org/abs/230..
 
?
6

Bootstrap Your Own Skills: Learning to Solve New Tasks with..:

Zhang, Jesse ; Zhang, Jiahui ; Pertsch, Karl...
http://arxiv.org/abs/2310.10021.  , 2023
Link: http://arxiv.org/abs/231..
 
?
7

Open X-Embodiment: Robotic Learning Datasets and RT-X Model:

Collaboration, Open X-Embodiment ; Padalkar, Abhishek ; Pooley, Acorn...
http://arxiv.org/abs/2310.08864.  , 2023
Link: http://arxiv.org/abs/231..
 
?
8

SPRINT: Scalable Policy Pre-Training via Language Instructi..:

Zhang, Jesse ; Pertsch, Karl ; Zhang, Jiahui.
http://arxiv.org/abs/2306.11886.  , 2023
Link: http://arxiv.org/abs/230..
 
?
9

PATO: Policy Assisted TeleOperation for Scalable Robot Data..:

Dass, Shivin ; Pertsch, Karl ; Zhang, Hejia...
http://arxiv.org/abs/2212.04708.  , 2022
Link: http://arxiv.org/abs/221..
 
?
10

RT-1: Robotics Transformer for Real-World Control at Scale:

Brohan, Anthony ; Brown, Noah ; Carbajal, Justice...
http://arxiv.org/abs/2212.06817.  , 2022
Link: http://arxiv.org/abs/221..
 
?
11

Task-Induced Representation Learning:

Yamada, Jun ; Pertsch, Karl ; Gunjal, Anisha.
http://arxiv.org/abs/2204.11827.  , 2022
Link: http://arxiv.org/abs/220..
 
?
12

Cross-Domain Transfer via Semantic Skill Imitation:

Pertsch, Karl ; Desai, Ruta ; Kumar, Vikash...
http://arxiv.org/abs/2212.07407.  , 2022
Link: http://arxiv.org/abs/221..
 
?
13

Skill-based Meta-Reinforcement Learning:

Nam, Taewook ; Sun, Shao-Hua ; Pertsch, Karl..
http://arxiv.org/abs/2204.11828.  , 2022
Link: http://arxiv.org/abs/220..
 
?
14

Demonstration-Guided Reinforcement Learning with Learned Sk..:

Pertsch, Karl ; Lee, Youngwoon ; Wu, Yue.
http://arxiv.org/abs/2107.10253.  , 2021
Link: http://arxiv.org/abs/210..
 
?
15

Long-Horizon Visual Planning with Goal-Conditioned Hierarch..:

Pertsch, Karl ; Rybkin, Oleh ; Ebert, Frederik...
http://arxiv.org/abs/2006.13205.  , 2020
Link: http://arxiv.org/abs/200..
 
1-15