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[D] Has anyone used continuous RL algorithms to output the parameters of a probability distribution that actions are then sampled from

So I’m working on a problem where I need an agent to perform multiple different actions at each time step. A solution I have in mind is to have the agent output the mean and covariance of a gaussian distribution and then sample the actions from the Gaussian distribution. Has anyone seen anything like this? Does this seem like an immediately bad idea?

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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.