Learning Position Evaluation Functions Used in Monte Carlo ...
On the gridworld domain we parametrize the value function using a multi-layer perceptron, and show that we do not need a target network. 1. Page 2. Under review ...
An End-to-End Text-Independent Speaker Identification System on ...cross-entropy, joint-softmax, and focal loss functions outperform the others. ... investigate the effectiveness of this loss function for TD-SV, ... Statistical classification by deep networks - EPFL... softmax or the sigmoid functions, that gives rise to two different loss functions. ... [69] Lake, B. M., Ullman, T. D., Tenenbaum, J. B., and Gershman, S. J. ( ... Regularized Softmax Deep Multi-Agent Q-LearningThe gradient resulting from the above form is of a desired form only for k = 1, due to cancellation of terms from the derivatives of l and the softmax function.
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