SPADE: LLM-Driven Self-Play in Adaptive Synthetic Environments

SPADE uses a single LLM to act as both an Environment Designer writing executable Gym-style code and a Reasoning Agent learning within it. This framework allows for continuous, automated scaling of diverse, long-horizon training goals.