NeurIPS 2019
Sun Dec 8th through Sat the 14th, 2019 at Vancouver Convention Center
Paper ID:3186
Title:A Regularized Approach to Sparse Optimal Policy in Reinforcement Learning

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.