Mini toolsDefinition
Methods that directly search for an optimal policy without necessarily learning a value function.
Detailed Explanation
Policy optimization involves directly adjusting policy parameters to maximize expected return. This can be done through gradient-based methods (policy gradients) or gradient-free methods (evolutionary strategies). These methods can handle continuous action spaces and naturally output action probabilities.
Use Cases
Robot motion planning, game AI, autonomous vehicle control, resource allocation
