actorstates
ActorStates is a concept in the field of artificial intelligence and machine learning, particularly within the realm of reinforcement learning and multi-agent systems. It refers to the set of possible states that an actor, or agent, can occupy within an environment. These states are crucial for understanding and modeling the behavior of the actor, as they represent the different conditions or situations the actor can encounter.
In reinforcement learning, ActorStates are used to define the state space of the environment. The state space
The ActorStates concept is also relevant in multi-agent systems, where multiple actors interact within the same
In summary, ActorStates is a fundamental concept in AI and machine learning, representing the possible states