action
In reinforcement learning, the mechanism by which the agent transitions between states of the environment.
Plain English Explanation
In reinforcement learning, the mechanism by which the agent transitions between states of the environment. The agent chooses the action by using a policy.
How is it used?
Practitioners refer to action when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.