SIGMA: Structured Noise-Effect-Aware Grouped Multi-Agent Aggregation
cs.AI, cs.LG, cs.MA
Submitted: 2026-08-27
Updated: 2026-08-27
Terminology
Sources
- An Introduction to Centralized Training for Decentralized Execution in Cooperative Multi-Agent Reinforcement Learning
- Graph Convolutional Reinforcement Learning
- Multi-agent Deep Reinforcement Learning with Extremely Noisy Observations
- HYGMA: Hypergraph Coordination Networks with Dynamic Grouping for Multi-Agent Reinforcement Learning
- On the Robustness of Safe Reinforcement Learning under Observational Perturbations
- Deep Multi-Agent Reinforcement Learning with Relevance Graphs
- The StarCraft Multi-Agent Challenge
- ROMA: Multi-Agent Reinforcement Learning with Emergent Roles
- Context-Aware Sparse Deep Coordination Graphs
- Robust Reinforcement Learning on State Observations with Learned Optimal Adversary
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