Fixed Sparse Graphs
Cross-source consensus on Fixed Sparse Graphs from 1 sources and 5 claims.
1 sources · 5 claims
Uses
Benefits
Risks & contraindications
Comparisons
Highlighted claims
- A fixed sparse graph can hide behavioral diversity that occurs on non-edges. — Graph-SND: Sparse Aggregation for Behavioral Diversity in Multi-Agent Reinforcement Learning
- k-nearest-neighbor graphs use O(nk) edges and can reduce pairwise evaluations by Theta(n/k). — Graph-SND: Sparse Aggregation for Behavioral Diversity in Multi-Agent Reinforcement Learning
- Fixed sparse graphs change the measurement target by intentionally excluding non-edge pairs. — Graph-SND: Sparse Aggregation for Behavioral Diversity in Multi-Agent Reinforcement Learning
- Communication graphs can align diversity measurement with interaction structure inherited from policy message passing. — Graph-SND: Sparse Aggregation for Behavioral Diversity in Multi-Agent Reinforcement Learning
- Fixed-graph Graph-SND should not be interpreted as full-system diversity unless the graph is justified as a proxy. — Graph-SND: Sparse Aggregation for Behavioral Diversity in Multi-Agent Reinforcement Learning