Reproduce “Sample-efficient Iterative Lower Bound Optimization of Deep Reactive Policies for Planning in Continuous MDPs” on OpenResearch
Turn your favorite coding agents into research agents that review literature, develop hypotheses, and run experiments.
Universal app for Apple silicon and Intel. Requires macOS 11 or later.
About this paper
Siow Meng Low, Akshat Kumar, Scott Sanner
Tip: change arxiv.org to autoarxiv.org in any arXiv abstract link to open the paper here.