Stochastic abstract policies: generalizing knowledge to improve reinforcement learning (2015)
Fonte: IEEE Transactions on Cybernetics. Unidades: EACH, EP
Assuntos: DINÂMICA ESTOCÁSTICA, ANÁLISE ESTOCÁSTICA, APRENDIZADO COMPUTACIONAL, INTELIGÊNCIA ARTIFICIAL
ABNT
KOGA, Marcelo Li e SILVA, Valdinei Freire da e REALI COSTA, Anna Helena. Stochastic abstract policies: generalizing knowledge to improve reinforcement learning. IEEE Transactions on Cybernetics, v. 45, n. ja 2015, p. 77-88, 2015Tradução . . Disponível em: https://doi.org/10.1109/TCYB.2014.2319733. Acesso em: 03 nov. 2024.APA
Koga, M. L., Silva, V. F. da, & Reali Costa, A. H. (2015). Stochastic abstract policies: generalizing knowledge to improve reinforcement learning. IEEE Transactions on Cybernetics, 45( ja 2015), 77-88. doi:10.1109/TCYB.2014.2319733NLM
Koga ML, Silva VF da, Reali Costa AH. Stochastic abstract policies: generalizing knowledge to improve reinforcement learning [Internet]. IEEE Transactions on Cybernetics. 2015 ; 45( ja 2015): 77-88.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1109/TCYB.2014.2319733Vancouver
Koga ML, Silva VF da, Reali Costa AH. Stochastic abstract policies: generalizing knowledge to improve reinforcement learning [Internet]. IEEE Transactions on Cybernetics. 2015 ; 45( ja 2015): 77-88.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1109/TCYB.2014.2319733