HGAP: Boosting Permutation Invariant and Permutation Equivariant in Multi-Agent Reinforcement Learning via Graph Attention Network

Bor-Jiun Lin, Chun-Yi Lee
2/12/2026

No official code found. Best implementation: ChristianLin0420/HGAP (9 stars, MIT, last commit 2024-02-04).

Semantic Scholar

Code Implementations(1)

ChristianLin0420/HGAPCommunity60%
MIT

Official implementation for ICML 2024 paper "HGAP: Boosting Permutation Invariant and Permutation Equivariant in Multi-Agent Reinforcement Learning via Graph Attention Network".

92Shell, PythonJun 11, 20232 years agoMIT

Cite this paper

@article{lin2026hgap,
  title  = {HGAP: Boosting Permutation Invariant and Permutation Equivariant in Multi-Agent Reinforcement Learning via Graph Attention Network},
  author = {Bor-Jiun Lin and Chun-Yi Lee},
  year   = {2026},
  url    = {https://api.semanticscholar.org/CorpusID:797fe79d24ab99415ba23a267096466e758686f5},
  journal = {ICML 2024 2024}
}

Discussion