Reviews: A Regularized Approach to Sparse Optimal Policy in Reinforcement Learning

Neural Information Processing Systems 

The paper contributes valuable insights to understanding the influence of regularization in policy optimization in MDPs. The reviewers reached a consensus about the paper's results having significant merit, and the paper can be accepted for presentation.