AstroAgentBench: Evaluating Agentic Planning on Space Mission Planning Tasks
AstroReason-Bench is a new benchmark testing generalist AI agents on complex Space Planning Problems (SPP). The goal was to see if these agents could handle high-stakes, constrained tasks better than specialized solvers. Results show that while agents can adapt zero-shot, they significantly underperform dedicated optimization methods in combinatorial problems.