Reproduce “Stacked Universal Successor Feature Approximators for Safety in Reinforcement Learning” 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
Ian Cannon, Washington Garcia, Thomas Gresavage, Joseph Saurine, Ian Leong, Jared Culbertson
Tip: change arxiv.org to autoarxiv.org in any arXiv abstract link to open the paper here.