2 papers
cs.LG2022
Deep Q-network using reservoir computing with multi-layered readout
Toshitaka Matsuki
Recurrent neural network (RNN) based reinforcement learning (RL) is used for learning context-dependent tasks and has also attracted attention as a method with remarkable learning…
cs.NE2020
Sensitivity - Local Index to Control Chaoticity or Gradient Globally -
Katsunari Shibata, Takuya Ejima, Yuki Tokumaru +1
Here, we introduce a fully local index named "sensitivity" for each neuron to control chaoticity or gradient globally in a neural network (NN). We also propose a learning method to…