Fudan's Feedback-Enriched Environments Bootstrap Self-Evolving Agents in Long-Horizon Tasks
FudanUniversity · hf · 2026-09-09
A Fudan University team proposed Environments as Scaffold / Feedback-Enriched Environments (FEE).
Core method:
- Environments adapt task settings to provide observation-level guidance
- Enriched feedback improves RL stability and exploration
- Goal: bootstrap self-evolving agents on long-horizon tasks
An environment-design approach for agentic RL training.
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