---
title: "Policy Optimization"
type: concept
related: [Policy, Cross Entropy Method, Policy Iteration, Local Policy Search, Policy Optimization]
source: https://www.jemoka.com/posts/kbhpolicy_optimization/
confidence: high
status: active
---

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
