DECAF: deep case-based policy inference for knowledge transfer in reinforcement learning (2020)
Fonte: Expert Systems with Applications. Unidade: EP
Assuntos: REDES NEURAIS, APRENDIZADO COMPUTACIONAL
ABNT
GLATT, Ruben et al. DECAF: deep case-based policy inference for knowledge transfer in reinforcement learning. Expert Systems with Applications, v. 156, p. 113420, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2020.113420. Acesso em: 25 ago. 2024.APA
Glatt, R., Silva, F. L. da, Bianchi, R. A. da C., & Costa, A. H. R. (2020). DECAF: deep case-based policy inference for knowledge transfer in reinforcement learning. Expert Systems with Applications, 156, 113420. doi:10.1016/j.eswa.2020.113420NLM
Glatt R, Silva FL da, Bianchi RA da C, Costa AHR. DECAF: deep case-based policy inference for knowledge transfer in reinforcement learning [Internet]. Expert Systems with Applications. 2020 ; 156 113420.[citado 2024 ago. 25 ] Available from: https://doi.org/10.1016/j.eswa.2020.113420Vancouver
Glatt R, Silva FL da, Bianchi RA da C, Costa AHR. DECAF: deep case-based policy inference for knowledge transfer in reinforcement learning [Internet]. Expert Systems with Applications. 2020 ; 156 113420.[citado 2024 ago. 25 ] Available from: https://doi.org/10.1016/j.eswa.2020.113420