Demystifying Reinforcement Learning for Long-Horizon Tool-Using Agents: A Comprehensive Recipe

Demystifying Reinforcement Learning for Long-Horizon Tool-Using Agents: A Comprehensive Recipe | Signal Canvas | ScienceToStartup

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Proof freshness: stale
Proof status: unverified
Display score: 7/10
Last proof check: 2026-03-24
Score updated: 2026-04-02
Score fresh until: 2026-05-02
References: 0
Source count: 0
Coverage: 50%

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Agent Handoff

Canonical ID demystifying-reinforcement-learning-for-long-horizon-tool-using-agents-a-comprehensive-recipe | Route /signal-canvas/demystifying-reinforcement-learning-for-long-horizon-tool-using-agents-a-comprehensive-recipe

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/demystifying-reinforcement-learning-for-long-horizon-tool-using-agents-a-comprehensive-recipe

MCP example

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source_context

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Evidence Receipt

Route status: building

Claims: 0

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: Demystifying Reinforcement Learning for Long-Horizon Tool-Using Agents: A Comprehensive Recipe

PDF: https://arxiv.org/pdf/2603.21972v1

Repository: https://github.com/WxxShirley/Agent-STAR

Source count: Pending verification

Coverage: 50%

Last proof check: 2026-03-24T21:26:51.890Z

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Demystifying Reinforcement Learning for Long-Horizon Tool-Using Agents: A Comprehensive Recipe

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