Mini toolsDefinition
The fundamental units in reinforcement learning that combine a particular situation with a possible action that can be taken.
Detailed Explanation
State-action pairs represent the combination of a specific state of the environment and an action that can be taken in that state. They are crucial for learning value functions and policies, as they allow the agent to associate specific actions with their expected outcomes in different situations.
Use Cases
Robot task planning, game AI decision making, autonomous navigation, process control
