Multi-Objective Reinforcement Learning and Fairness

In Reinforcement Learning (RL) an agent is looking to find a policy that maximizes the expected rewards. A significant number of RL algorithms have been proposed in the literature for policy optimisation, with important practical applications. However, In many scenarios optimizing for a single scalar reward is not sufficient. For example, think of…