Before revision:   Thus, this paper aims to become a starting point for researchers interested to use and apply reinforcement learning methods in this particular research field.
After revision:  The benefits and challenges of reinforcement learning in social robotics, evaluation methods of the papers regarding whether or not they use subjective and algorithmic measures, a discussion in the view of real-world reinforcement learning challenges and proposed solutions, the points that remain to be explored, including the approaches that have thus far received less attention is also given in the paper. Thus, this paper aims to become a starting point for researchers interested to use and apply reinforcement learning methods in this particular research field.