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elvis· @omarsar0 · X·· 7 小时前AI 评分44
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Amazon AGI 提出 AutoGym,可从少量领域种子或过往模型轨迹出发,同时生成任务、可执行环境和验证器,用于为智能体自动构建 RL 训练环境。作者将其定位为"blueprint-first"的可验证 agent gym 生成方法,并强调创建 RL 环境正成为一项重要的 AI 工程技能。

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Great paper from Amazon AGI on generating RL environments for agents.

(bookmark it)

Also, pay attention to this important new AI engineering skill of creating RL environments. Seeing a huge shift towards this.

The authors propose AutoGym which writes the task, the executable environment and the verifier together, starting from a small domain seed or past model trajectories.

Paper: https://arxiv.org/abs/2609.22592

Chat with Paper: https://academy.dair.ai/papers/autogym-blueprint-first-generation-of-verifiable-agent-gyms-2609.22592

来源:elvis · x.com