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title: "Policy Optimization"
source: https://www.jemoka.com/posts/kbhpolicy_optimization/
---

Policy Optimization deals with algorithms that, unlike value iteration/policy iteration/online planning which uses a surrogate (like value function or some future discounted reward) to calculate a policy, directly optimizes against policy parameters \(\theta\) for a policy \(\pi_{\theta}\).
Local Policy Search (aka Hooke-Jeeves Policy Search) Genetic Policy Search Cross Entropy Method Policy Gradient, Regression Gradient and Likelyhood Ratio Gradient Reward-to-Go
