Zobrazeno 1 - 4
of 4
pro vyhledávání: '"HaoChih Lin"'
Autor:
Franziska Eckert, James MacGlashan, Kenta Kawamoto, Michael Spranger, Hiroaki Kitano, Varun Raj Kompella, Michael Thomure, Craig Sherstan, Leilani Gilpin, Rory Douglas, Takuma Seno, Peter R. Wurman, Florian Fuchs, Peter Stone, Roberto Capobianco, Houmehr Aghabozorgi, Alisa Devlic, Peter Durr, Dion Whitehead, Samuel Barrett, Leon Barrett, Patrick MacAlpine, HaoChih Lin, Piyush Khandelwal, Kaushik Subramanian, Declan Oller, Tom Walsh
The authors have requested that this preprint be removed from Research Square.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe59ead6e8492a51c892c659cb391aa5
https://doi.org/10.21203/rs.3.rs-795954/v1
https://doi.org/10.21203/rs.3.rs-795954/v1
Autor:
Peter R. Wurman, Samuel Barrett, Kenta Kawamoto, James MacGlashan, Kaushik Subramanian, Thomas J. Walsh, Roberto Capobianco, Alisa Devlic, Franziska Eckert, Florian Fuchs, Leilani Gilpin, Piyush Khandelwal, Varun Kompella, HaoChih Lin, Patrick MacAlpine, Declan Oller, Takuma Seno, Craig Sherstan, Michael D. Thomure, Houmehr Aghabozorgi, Leon Barrett, Rory Douglas, Dion Whitehead, Peter Dürr, Peter Stone, Michael Spranger, Hiroaki Kitano
Publikováno v:
Nature. 602(7896)
Many potential applications of artificial intelligence involve making real-time decisions in physical systems while interacting with humans. Automobile racing represents an extreme example of these conditions; drivers must execute complex tactical ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c424f55a6bc1400dc9a77f034e414c5f
https://pubmed.ncbi.nlm.nih.gov/35140381
https://pubmed.ncbi.nlm.nih.gov/35140381
Publikováno v:
2021 IEEE International Conference on Robotics and Automation (ICRA)
ICRA
ICRA
Professional race-car drivers can execute extreme overtaking maneuvers. However, existing algorithms for autonomous overtaking either rely on simplified assumptions about the vehicle dynamics or try to solve expensive trajectory-optimization problems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6eac3cab9d4b61c8925acbe360926a5e
Publikováno v:
ICRA
Interactions with either environments or expert policies during training are needed for most of the current imitation learning (IL) algorithms. For IL problems with no interactions, a typical approach is Behavior Cloning (BC). However, BC-like method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d06113a5743b93718eba60d3af3f15da