Policy

In reinforcement learning, a policy is the strategy an agent uses to choose actions given its current situation. Training aims to find a policy that maximizes expected reward.

Policy sits in the Foundations part of the Agentik {OS} glossary, which defines the words used to build and run AI agent systems.