Reproduce “SaFormer: A Conditional Sequence Modeling Approach to Offline Safe 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
Qin Zhang, Linrui Zhang, Haoran Xu, Li Shen, Bowen Wang, Yongzhe Chang, Xueqian Wang, Bo Yuan and 1 more
Tip: change arxiv.org to autoarxiv.org in any arXiv abstract link to open the paper here.