Empirical priors for reinforcement learning models
SJ Gershman - Journal of Mathematical Psychology, 2016 - Elsevier
Computational models of reinforcement learning have played an important role in
understanding learning and decision making behavior, as well as the neural mechanisms …
understanding learning and decision making behavior, as well as the neural mechanisms …
Empirical priors for reinforcement learning models
SJ Gershman - Journal of Mathematical Psychology, 2016 - infona.pl
Computational models of reinforcement learning have played an important role in
understanding learning and decision making behavior, as well as the neural mechanisms …
understanding learning and decision making behavior, as well as the neural mechanisms …
Empirical priors for reinforcement learning models.
SJ Gershman - Journal of Mathematical Psychology, 2016 - psycnet.apa.org
Computational models of reinforcement learning have played an important role in
understanding learning and decision making behavior, as well as the neural mechanisms …
understanding learning and decision making behavior, as well as the neural mechanisms …
[PDF][PDF] Empirical priors for reinforcement learning models
SJ Gershman - Journal of Mathematical Psychology, 2016 - gershmanlab.com
Computational models of reinforcement learning have played an important role in
understanding learning and decision making behavior, as well as the neural mechanisms …
understanding learning and decision making behavior, as well as the neural mechanisms …
[引用][C] Empirical priors for reinforcement learning models
SJ Gershman - Journal of Mathematical Psychology, 2016 - cir.nii.ac.jp