Defining Admissible Rewards for High-Confidence Policy Evaluation in Batch Reinforcement Learning
Publication information:
Prasad N, Engelhardt B, Doshi-Velez F. Defining Admissible Rewards for High-Confidence Policy Evaluation in Batch Reinforcement Learning. ACM Conference on Health, Inference and Learning. 2020;2:1–9.