Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Jan Wöhlke"'
Publikováno v:
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence.
In robotic tasks, we encounter the unique strengths of (1) reinforcement learning (RL) that can handle high-dimensional observations as well as unknown, complex dynamics and (2) planning that can handle sparse and delayed rewards given a dynamics mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::515a0221a4d8df8e90fd8eb33b67aeea
https://doi.org/10.24963/ijcai.2022/494
https://doi.org/10.24963/ijcai.2022/494
Publikováno v:
The International Journal of Robotics Research. 38:1268-1285
In systems involving multiple intelligent agents, e.g. multi-robot systems, the satisfaction of environmental, inter-agent, and task constraints is essential to ensure safe and successful task execution. This requires a constraint enforcing control s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4f37516829b3ad32026919c020a91db
https://doi.org/10.1177/0278364919867133
https://doi.org/10.1177/0278364919867133
Publikováno v:
ICRA
2021 IEEE International Conference on Robotics and Automation (ICRA 2021): May 31-June 4, 2021, Xi'an, China, 10682-10688
STARTPAGE=10682;ENDPAGE=10688;TITLE=2021 IEEE International Conference on Robotics and Automation (ICRA 2021)
2021 IEEE International Conference on Robotics and Automation (ICRA 2021): May 31-June 4, 2021, Xi'an, China, 10682-10688
STARTPAGE=10682;ENDPAGE=10688;TITLE=2021 IEEE International Conference on Robotics and Automation (ICRA 2021)
Solving robotic navigation tasks via reinforcement learning (RL) is challenging due to their sparse reward and long decision horizon nature. However, in many navigation tasks, high-level (HL) task representations, like a rough floor plan, are availab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5960d35a54a5db78d803e776a1f5b04
https://doi.org/10.1109/icra48506.2021.9561151
https://doi.org/10.1109/icra48506.2021.9561151