Defining Admissible Rewards for High Confidence Policy Evaluation

Niranjani Prasad, Barbara E Engelhardt, Finale Doshi-Velez

A key impediment to reinforcement learning (RL) in real applications with limited, batch data is defining a reward function that reflects what we implicitly know about reasonable b…