Reproduce “Using Temperature Sampling to Effectively Train Robot Learning Policies on Imbalanced Datasets” 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
Basavasagar Patil, Sydney Belt, Jayjun Lee, Nima Fazeli, Bernadette Bucher
Tip: change arxiv.org to autoarxiv.org in any arXiv abstract link to open the paper here.