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On Hugging Face · first seen 13 October 2026, 00:00 UTC

Tev scales long-horizon agentic environments with dense rewards

Dense reward environments could unlock open models for long-horizon autonomous tasks.

Paper Tev presents a method to scale long-horizon agentic training environments using dense progress rewards, aiming to help open models work autonomously for hours to days.

Open

Read it at HF Papers →

Coverage: 1 sources, in order

  1. HF Papers: Tev: Scaling Long-Horizon Agentic Environments with Dense Progress Rewards

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