In reinforcement learning, what is a "policy"?AA function that maps states to actionsBA function that maps actions to rewardsCA function that maps states to rewardsDA function that maps states to state transitions

What is a policy in reinforcement learning?Select one:a.The strategy or behavior followed by the agent in order to maximize its rewardb.The environment in which the learning takes placec.The current condition or situation of the agentd.The entity that receives rewards or punishments and learns from them

What is a policy in a Markov decision process (MDP)?Select one:a.A set of rules for selecting actions and statesb.A set of rules for selecting actions in a given statec.A set of rules for selecting states in a given actiond.A set of rules for selecting outcomes

What is a state in reinforcement learning?Select one:a.The entity that receives rewards or punishments and learns from themb.The predicted outcome of an eventc.The environment in which the learning takes placed.The current condition or situation of the agent

What is reinforcement learning?Select one:a.A type of supervised learning where the model is trained using labeled datab.A type of deep learning where the model is trained using a large datasetc.A type of unsupervised learning where the model is trained using unlabeled datad.A type of machine learning where an agent learns through interacting with its environment and receiving rewards or punishments

Reward function :• Defines the goal in an RL problem• Policy is altered to achieve this goal• Value function:• Reward function indicates what is good in an immediate sense while a value functionspecifies what is good in the long run.• Value of a state is the total amount of reward an agent can expect to accumulateover the future, starting form that state.• Model of the environment :• Predict mimic behavior of environment.• Used for planning & if Know current state and action then predict the resultant nextstate and next reward