MA2E: Addressing Partial Observability in Multi-Agent Reinforcement Learning with Masked Auto-Encoder
Sehyeok Kang, Yongsik Lee, Gahee Kim, Song Chong, SeYoung Yun
2/12/2026
No confident code implementation found for this paper.
No confident code implementation found for this paper.
No confident code match yet
We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.
No code implementations found yet.
Know of an implementation? Let us know in the comments below!
@article{kang2026mae,
title = {MA2E: Addressing Partial Observability in Multi-Agent Reinforcement Learning with Masked Auto-Encoder},
author = {Sehyeok Kang and Yongsik Lee and Gahee Kim and Song Chong and SeYoung Yun},
year = {2026},
url = {https://api.semanticscholar.org/CorpusID:2e5dc2f0c6135231210f6793ecacfa6d74172a68},
journal = {ICLR 2025 2025}
}Shows whether official code is linked for this paper.
[](https://codeofpaper.com/paper/2e5dc2f0c6135231210f6793ecacfa6d74172a68)