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Author

Di Hu

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#artificial intelligence Review Sep 2026

Environment Evolution for Terminal Agents

This paper proposes environment evolution, which incrementally increases environment difficulty off-policy and schedules the evolved environments generation by generation during training to provide continuous learning signals.

Zhi-Yuan Fan, Ting-Ting Yu, Yu-Tong Cai et al. · 2 citations

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