代理工具
SPADE Has the Same LLM Write Executable Training Environments, Improving a 30B Model by an Average of 5.3 Points Across Eight Benchmarks
SPADE trains the environment designer using the return gap between runs with and without hints, allowing the curriculum to become harder automatically as the agent improves. Qwen3-30B-A3B gained as much as 13.9 points on tool-use benchmarks, though environment validators may still accept underspecified or unsolvable tasks.