Fairness meets CMDPs
This paper proposes SCALES, a general framework that translates well-established fairness principles into a common representation based on CMDPs.
Sreejith Balakrishnan
Efficiently Exploring Reward Functions in Inverse RL
Using Bayesian Optimization to address the ill-posed nature of Inverse Reinforcement Learning