Reinforcement learning to develop policies for fair and productive employment: A case study on wage theft within the day-laborer community
Fig 7
The variations in Q-values corresponding to two actions, “Report” and “NoAction,” within the “WorkingTheft” state across different probability values of report success. These results are generated by the Python code S1 File provided in the Supplement.