Socially Fair Reinforcement Learning

Understand

We consider the problem of episodic reinforcement learning where there are multiple stakeholders with different reward functions.

• Our goal is to output a policy that is socially fair with respect to different reward functions.
• Prior works have proposed different objectives that a fair policy must optimize including minimum welfare, and generalized Gini welfare.
• We first take an axiomatic view of the problem, and propose four axioms that any such fair objective must satisfy.