Machine Learning, Mdp, Markov Chains, Reinforcement Learning.
agents world, this can also be the case. The transition function is the probability that an agent gets to the next state given that she takes an action from her current state. It is written like this: T(s,a,s’). In essence, this is P(s’|s,a). This is the probability of getting to state s’ given