How to use the stable-baselines.stable_baselines.common.distributions.BernoulliProbabilityDistribution function in stable-baselines

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github harvard-edge / quarl / stable-baselines / stable_baselines / common / distributions.py View on Github external
def __init__(self, logits):
        """
        Probability distributions from Bernoulli input

        :param logits: ([float]) the Bernoulli input data
        """
        self.logits = logits
        self.probabilities = tf.sigmoid(logits)
        super(BernoulliProbabilityDistribution, self).__init__()
github harvard-edge / quarl / stable-baselines / stable_baselines / common / distributions.py View on Github external
def probability_distribution_class(self):
        return BernoulliProbabilityDistribution

stable-baselines

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.

MIT
Latest version published 4 years ago

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