2 papers
cs.LG2020
Optimizing the Neural Architecture of Reinforcement Learning Agents
N. Mazyavkina, S. Moustafa, I. Trofimov +1
Reinforcement learning (RL) enjoyed significant progress over the last years. One of the most important steps forward was the wide application of neural networks. However, architec…
physics.comp-ph2017
Efficient Parallel Solution of the 3D Stationary Boltzmann Transport Equation for Diffusive Problems
Salli Moustafa, François Févotte, Mathieu Faverge +2
This paper presents an efficient parallel method for the deterministic solution of the 3D stationary Boltzmann transport equation applied to diffusive problems such as nuclear core…