Browsing by Subject "learning algorithm"
Now showing items 1-2 of 2
An efficient computational fluid-particle dynamics method to predict deposition in a simplified approximation of the deep lung (2018)High-fidelity simulations of the complete airway tree are still largely beyond current computational capabilities. Towards large-scale simulations of the human lung, the current study introduces a numerical methodology to ...
Spiking neural networks with different reinforcement learning (RL) schemes in a multiagent setting (2010)This paper investigates the effectiveness of spiking agents when trained with reinforcement learning (RL) in a challenging multiagent task. In particular, it explores learning through rewardmodulated spike-timing dependent ...