In Policy Gradient Methods, the policy is usually parameterized by ________ and the gradient is taken with respect to these parameters.
- Neural Networks
- Q-values
- State-Action Pairs
- Rewards
In Policy Gradient Methods, the policy is often parameterized by neural networks. These networks determine the probability distribution of actions.
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