[논문 리뷰] 1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities

[논문 리뷰] 1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities

작성자: 김동민

2026, Mar 19    

논문 정보

제목: 1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities

저자: Kevin Wang, Ishaan Javali, Michał Bortkiewicz, Tomasz Trzciński, Benjamin Eysenbach.

학회: NeurIPS 2025

링크: https://arxiv.org/abs/2503.14858


발표 자료