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Self-Organized Polynomial-Time Coordination Graphs
[article]
2022
arXiv
pre-print
Coordination graph is a promising approach to model agent collaboration in multi-agent reinforcement learning. It conducts a graph-based value factorization and induces explicit coordination among agents to complete complicated tasks. However, one critical challenge in this paradigm is the complexity of greedy action selection with respect to the factorized values. It refers to the decentralized constraint optimization problem (DCOP), which and whose constant-ratio approximation are NP-hard
arXiv:2112.03547v4
fatcat:l3gwg6v2hffubhnpmwntgust6y