WTTE-RNN : Weibull Time To Event Recurrent Neural Network

As a first step towards reinforcement learning, it is shown that RNN can well map and reconstruct (partially observable) Markov decision ...







A Recurrent Model with Spatial and Temporal Contexts - AAAI
RNNs, such as LSTM, can be applied to RL tasks in various ways. One way is to let the RNN learn a model of the environment, which learns to predict obser-.
Accurate and reliable state of charge estimation of lithium ion ...
The allowance of non-linear variations in a. TD-RNN allows for some improvement; however, this improvement in precision is not sufficient for the model to be ...
Applied Machine Learning
In TDRNN, we adjust the degree of preservation of past moment content in PD-RNN by enlarging the weights used to control past moment data, so ...



Autres Cours:

learning gestural parameters and activation with an RNN