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Learning GenAI via SOTA Papers · October 10 · 24 min

EP482: Training AI with Feedback Enriched Environments

Title: Environments as Scaffold: Enriching Feedback to Bootstrap Self-Evolving Agents in Long-Horizon TasksSource: http://arxiv.org/abs/2609.08404v1 Summary: This paper proposes a novel framework where environments act as 'scaffolds' to enrich feedback, enabling self-evolving agents to bootstrap their capabilities in long-horizon tasks. This introduces a foundational new paradigm for agent learning and adaptation, leading to more robust and capable AI agents by improving their ability to acquire knowledge and evolve effectively over time.

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Title: Environments as Scaffold: Enriching Feedback to Bootstrap Self-Evolving Agents in Long-Horizon TasksSource: http://arxiv.org/abs/2609.08404v1


Summary:

This paper proposes a novel framework where environments act as 'scaffolds' to enrich feedback, enabling self-evolving agents to bootstrap their capabilities in long-horizon tasks. This introduces a foundational new paradigm for agent learning and adaptation, leading to more robust and capable AI agents by improving their ability to acquire knowledge and evolve effectively over time.