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pro vyhledávání: '"Jake Miratsky"'
Autor:
Nicholas Ho, John Kevin Cava, John Vant, Ankita Shukla, Jake Miratsky, Pavan Turaga, Ross Maciejewski, Abhishek Singharoy
In this paper, we develop a formulation to utilize reinforcement learning and sampling-based robotics planning to derive low free energy transition pathways between two known states. Our formulation uses Jarzynski’s equality and the stiffspring app
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51fec0f82d68126af5a08c8aa2221017
https://doi.org/10.1101/2022.10.04.510845
https://doi.org/10.1101/2022.10.04.510845
