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
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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: 09 nov. 2025.APA
Glatt, R., Silva, F. L. da, Bianchi, R. A. da C., & Reali Costa, A. H. (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, Reali Costa AH. DECAF: deep case-based policy inference for knowledge transfer in reinforcement learning [Internet]. Expert Systems with Applications. 2020 ; 156 113420.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.eswa.2020.113420Vancouver
Glatt R, Silva FL da, Bianchi RA da C, Reali Costa AH. DECAF: deep case-based policy inference for knowledge transfer in reinforcement learning [Internet]. Expert Systems with Applications. 2020 ; 156 113420.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.eswa.2020.113420
