Which method in reinforcement learning directly optimizes the policy function instead of value function?
- Policy Gradient Methods
- Value Iteration
- Q-Learning
- Monte Carlo Methods
Policy Gradient Methods directly optimize the policy, learning the best actions to take in each state, making them suitable for environments where value functions are hard to estimate or unnecessary.
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