AutoGym proposal would build AI agent tasks, environments and verifiers together
A user highlights a paper they describe as from Amazon AGI. They say its authors propose starting AutoGym with a small domain seed or past model trajectories.
TLDR
A user shares a paper they describe as from Amazon AGI on generating reinforcement-learning environments for AI agents. They say its authors propose AutoGym to write a task, executable environment and verifier together, starting from a small domain seed or past model trajectories. The user argues that creating these environments is becoming an important AI engineering skill.
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