HIBCG learns group-aware sparse coordination graphs in MARL using graph information bottleneck with a block-diagonal prior for edge selection and water-filling for capacity allocation.
Context-aware sparse deep coordination graphs,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Heterogeneous Information-Bottleneck Coordination Graphs for Multi-Agent Reinforcement Learning
HIBCG learns group-aware sparse coordination graphs in MARL using graph information bottleneck with a block-diagonal prior for edge selection and water-filling for capacity allocation.