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News/Synthesize and Reward -- Reinforcement Learning for Multi-Step Tool Use in Live Environments
arxiv
PublishedJune 5, 2026 at 4:00 AM

Synthesize and Reward -- Reinforcement Learning for Multi-Step Tool Use in Live Environments

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arXiv:2606.03892v2 Announce Type: replace-cross Abstract: Training LLMs to orchestrate multi-step tool calls is held back by three coupled obstacles: realistic stateful execution environments are costly to build, synthetic training queries are often detached from the server's actual state (so the ge

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