Review for NeurIPS paper: Robust-Adaptive Control of Linear Systems: beyond Quadratic Costs

Summary and Contributions: Post-rebuttal: I would like to thank the authors for their response. As stated in the original review, I think comparing to DQN will improve the paper. This paper address the problem of robust control of continuous dynamic systems, where the system's dynamics is unknown but assumed to have a linear structure, with external polytopic disturbance. The proposed approach consists of several steps for each action, first model and confidence region estimation (or refinement), then worst case reward extraction and state estimation bounds, a conservative planning step based on the reward and state bounds, finally one step execution, and repeating the process in an MPC like manner. The paper presents an end to end approach to the robust control problem for unknown dynamics (only the system dynamic matrix is unknown) in an adaptive manner.