SPADE: Self-Play in Adaptive Synthetic Executable Environments
SPADE (Self-Play in Adaptive Synthetic Executable Executable Environments), a self-play RL framework in which a single LLM plays two roles: an Environment Designer that writes complete, long-horizon training environments as executable code with an OpenAI Gym-style reset()/step() interface, and a Reasoning Agent that learns to act in them.
Bo Liu, Simon Yu, Yiding Jiang et al.
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