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 - AAAIRNNs, 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 LearningIn 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 ...
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