HIGHLIGHTS
- who: Huanbiao Zhuang and colleagues from the School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China have published the paper: Cooperative Decision-Making for Mixed Traffic at an Unsignalized Intersection Based on Multi-Agent Reinforcement Learning, in the Journal: (JOURNAL)
- what: In this paper a decentralized multi-agent proximal policy optimization (MAPPO) based on an attention representations algorithm (Attn-MAPPO) was developed to make joint decisions at an intersection to avoid collisions and cross the intersection effectively. Ultimately the comparative experiments were conducted to demonstrate that this approach was more adaptive and generalized . . .
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