NeurIPS 2019
Sun Dec 8th through Sat the 14th, 2019 at Vancouver Convention Center
Paper ID:824
Title:Multi-View Reinforcement Learning

Reviewers are all excited about the extension of model-free and model-based RL to multi-view/multi-modal settings. The authors offer formal formulation of multi-view RL by extending POMDP. The model-free case is rather straight-forward, and the model-based case leads to variational inference. Reviewers however, expressed concern regarding the setup of toy examples and the quality of the evaluation. Overall, the merit of the work outweigh the weakness. Please try to incorporate reviewers' suggestions into your final draft.