Policy Gradient
Policy Gradient



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... אלגוריתם Reinforce – Vanilla Policy Gradients ...

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„Policy Gradient“

Policy Gradient is a reinforcement learning algorithm that uses gradient descent to optimize the policy parameters in order to maximize the expected return. It is an efficient way to learn a policy that can be used to take optimal actions in a given environment. Policy Gradient works by using a policy to determine which action to take in the environment, and then using a reward signal to adjust the parameters of the policy so that it can take better actions in the future. The algorithm is iterative and it gradually improves the policy parameters until they reach an optimal configuration.