Reproduce “Climate Surrogates for Scalable Multi-Agent Reinforcement Learning: A Case Study with CICERO-SCM” 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
Oskar Bohn Lassen, Serio Angelo Maria Agriesti, Filipe Rodrigues, Blaz Kurnik, Francisco Camara Pereira
Tip: change arxiv.org to autoarxiv.org in any arXiv abstract link to open the paper here.