Cooperative Policy Learning with Pre-trained Heterogeneous Observation Representations

Wenlei Shi
Wenlei Shi
Xinran Wei
Xinran Wei
Xiaoyuan Ni
Xiaoyuan Ni
Arthur Jiang
Arthur Jiang
Cited by: 0|Bibtex|Views7
Other Links: arxiv.org

Abstract:

Multi-agent reinforcement learning (MARL) has been increasingly explored to learn the cooperative policy towards maximizing a certain global reward. Many existing studies take advantage of graph neural networks (GNN) in MARL to propagate critical collaborative information over the interaction graph, built upon inter-connected agents. Ne...More

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