Policy Gradient Methods

Deterministic Policy Gradient

Deterministic Policy Gradient, or DPG, is a policy gradient method for reinforcement learning. Instead of the policy function $\pi\left(.\mid{s}\right)$ being modeled as a probability distribution, DPG considers and calculates gradients for a deterministic policy $a = \mu_{theta}\left(s\right)$.

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Continuous Control 2 66.67%
Motion Planning 1 33.33%

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