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pro vyhledávání: '"Chmura, Jacob"'
Sparse reward environments are known to be challenging for reinforcement learning agents. In such environments, efficient and scalable exploration is crucial. Exploration is a means by which an agent gains information about the environment. We expand
Externí odkaz:
http://arxiv.org/abs/2310.06777
Autor:
Young A; Department of Computer Science, University of Toronto, 40 St. George Street, Room 7224, Toronto, ON M5S 2E4, Canada.; Donnelly Centre for Cellular and Biomolecular Research, 160 College Street, Room 230, Toronto, ON M5S 3E1, Canada.; Vector Institute for Artificial Intelligence, 661 University Ave, Suite 710, Toronto, ON M5G 1M1, Canada, adamo.young@mail.utoronto.ca., Chmura J, Park Y, Morris Q, Atwal G
Publikováno v:
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing [Pac Symp Biocomput] 2020; Vol. 25, pp. 274-285.