Policy Gradient Methods often use which of the following to estimate the gradient of the expected reward with respect to the policy parameters?
- Monte Carlo estimation
- Finite difference
- Gradient ascent
- Random sampling
Policy Gradient Methods often use Monte Carlo estimation to estimate the gradient of the expected reward with respect to policy parameters. It involves sampling trajectories and averaging returns to estimate the gradient.
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