In reinforcement learning, an Action is a choice made by an agent that changes, or attempts to change, the state of the environment. Actions are selected according to a policy and are evaluated through their consequences and rewards.
In reinforcement learning, the mechanism by which the agent transitions between states of the environment. The agent chooses the action by using a policy.