SPADE: Auto-generating progressively harder training environments for self-improving agents
_AndrewZhao · x · 2026-08-21
Introduces the SPADE framework, where a single model acts as both the Environment Designer and the Reasoning Agent. It writes executable, agentic environments that increase in difficulty as the agent improves, enabling automatic environment scaling for continuous self-improvement.
Related event: SPADE: Single-Model Self-Play Writes Its Own Training Environments(13 posts)→
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