return self._step_mdp(next_tensordict)@property def _step_mdp(self): step_func = self.__dict__.get("_step_mdp_value")1 comment on commit 4bc40a8 github-actions bot commented on 4bc40a8 Dec 12, 2024 ⚠️ Performance Alert ⚠️ Possible performance regression was detected for...
two-step self-etch adhesiveacid-base resistant zoneenamelMDPmicroshear bond strengthNaFPurpose: To evaluate the roles of MDP and NaF in the bonding resin of a two-step self-etch adhesive (2-SEA) on enamel bonding performance.Kakiuchi, YusukeTakagaki, TomohiroIkeda, MasaomiSato, TakaakiMatsui, ...
a中岳嵩山 Mountain Mt. Songshan [translate] aIt is an iterative process (as detailed in the MDP flowchat on page 5) because each step is compared to the results of previous steps before moving forward. 正在翻译,请等待... [translate] ...
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... next_data = env.step(reset_data) ... data = env.step_mdp(next_data) """ return self._step_mdp(next_tensordict)@property def _step_mdp(self): step_func = self.__dict__.get("_step_mdp_value")Loading Oops, something went wrong. Retry Footer...
Sato K (2012) Nonmyopia and incentives in the piecewise linearized MDP procedures with variable step- sizes. J Econ Struct 1:5. doi:10.1186/2193-2409-1-5Sato K (2012) Nonmyopia and incentives in the piecewise linearized MDP procedures with variable step-sizes. J Econ Struct 1:1-22...
Yokota Y, Fujita (Nakajima) K, Uchida R, Aida E, Aoki (Tabei) N, Aida M, Nishiyama N. Quantitative evaluation of MDP-Ca salt and DCPD after application of MDP-based one- step self-etch adhesive on enamel and dentin. J Adhes Dent 2016; 18: 205-213....