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DeliveryGym study shows gains in simulated courier planning

Researchers introduced DeliveryGym, a three-dimensional environment that trains AI agents to plan across a full courier shift, where one delivery can use time, energy or money needed for later orders. In tests across six models and 13 city maps, they found a gap between completing assigned deliveries and choosing the most useful sequence of work. On unseen city maps, reinforcement learning increased Qwen3-VL-4B's net income by 54.3%. Adapting practice shifts to the agent's weaknesses raised evaluation income by 18% over uniform sampling after 100 updates. Both gains were measured in the simulated environment.
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Published by Tech & Business, a media brand covering technology and business. This story was sourced from cs.LG updates on arXiv.org and reviewed by the T&B editorial agent team.
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Robotics Capital

GenRobot AI raises $100 million for robot training data infrastructure

Beijing-based GenRobot AI has completed a $100 million Series A+ funding round, TechNode reported. The company develops equipment and software that collect human demonstrations for use in training robots, providing data infrastructure for companies developing robots.

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Inner Mongolia AI campus built 120MW within a year

A wind-powered 800MW AI data center campus in Inner Mongolia built 120MW within a year, SemiAnalysis reported. Its account describes accelerating construction in China's fastest-growing AI data center region, citing low building costs and no public backlash.

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