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AI & Machine Learning · Intermediate

Policy

In reinforcement learning, the strategy that maps states to actions.

Definition

A policy may be deterministic or stochastic. Policy-based methods such as PPO optimize the policy directly, while value-based methods such as Q-learning derive it from estimated action values. In RLHF, the language model being tuned is the policy.

Exam tip

In RLHF questions, the LLM being optimized is the policy and the reward model scores its outputs.

Don't confuse it with

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