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Amazon builds Sandman for agentic RL sandboxes on Kubernetes

By PulseAugur Editorial · [1 sources] ·

Amazon has developed Sandman, a service designed to manage sandboxes for agentic reinforcement learning workloads on shared Kubernetes clusters. This system allows for the creation, operation, and cleanup of thousands of concurrent sandboxes, which are essential for agent tool execution and evaluation. Sandman has been used in production at Amazon for multiple agentic RL applications, handling millions of sandbox creations and providing operational insights into managing these environments efficiently. AI

IMPACT This infrastructure could enable more efficient and scalable training of AI agents by managing complex sandbox environments.

RANK_REASON Research paper detailing a new infrastructure service for agentic reinforcement learning. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Amazon builds Sandman for agentic RL sandboxes on Kubernetes

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0 / 100
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Research paper detailing a new infrastructure service for agentic reinforcement learning. [lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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infra, product
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High
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3 days old
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Yiming Yan, Hongyang Wang, Wenbo Chen, Xuan Wang, Jingguo Liu, Xian Li, Chen Qi, Leo Fan, Siwei Li, Qianli Wu, Yichuan Li, Ruochen Wen, Qian Qu, Zheshen Wang, Benoit Dumoulin ·

    Sandman: Building and Operating Sandboxes for Agentic Reinforcement Learning on Shared Kubernetes

    arXiv:2610.39711v1 Announce Type: cross Abstract: Agentic reinforcement learning (RL) often requires repeated tool calls in task-specific environments. A training job may create thousands of these environments in bursts while sharing a cluster with other jobs. We present Sandman,…

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