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公司内部站点 · 页面资源保存在本地(2026-10-17 15:06 UTC)· 独立 X 采集尚未配置;互动计数仅限本站

Amazon AGI paper proposes AutoGym for agent RL environments

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A paper from Amazon AGI proposes AutoGym for generating reinforcement-learning environments for agents. AutoGym writes the task, the executable environment, and the verifier together, starting from a small domain seed or past model trajectories.

The paper is arXiv:2609.22592. A Chat with Paper page is also available.