A modified limited memory Nesterov's accelerated quasi-Newton

no code implementations • 1 Dec 2021 • S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Takeshi Kamio, Hideki Asai

The Nesterov's accelerated quasi-Newton (L)NAQ method has shown to accelerate the conventional (L)BFGS quasi-Newton method using the Nesterov's accelerated gradient in several neural network (NN) applications.

A Nesterov's Accelerated quasi-Newton method for Global Routing using Deep Reinforcement Learning

no code implementations • 15 Oct 2020 • S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Takeshi Kamio, Hideki Asai

Deep Q-learning method is one of the most popularly used deep reinforcement learning algorithms which uses deep neural networks to approximate the estimation of the action-value function.

Q-Learning reinforcement-learning +1