For questions about policy-based (or policy search) reinforcement learning (RL) methods (or algorithms), which are RL algorithms that directly learn a policy (rather than first learning a value function). An example of a policy search algorithm is REINFORCE, which falls into the category of "policy gradient" algorithms (or "policy gradients"), which is a subset of policy-based algorithms that uses gradient information to guide the search.

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