Reinforcement Learning is a Learning paradigm concerned with Learning to control a system so as to maximize a numerical performance measure that expresses a long-term objective.
The goal in reinf.
Thus, time plays a special role.
Further, the predictions may have long term effects through influencing the future state of the controlled system.
What distinguishes Reinforcement Learning from supervised Learning is that only partial feedback is given to the learner about the learner\'s predictions.
Reinforcement Learning is a Learning paradigm concerned with Learning to control a system so as to maximize a numerical performance measure that expresses a long-term objective