Multi-agent Perception via Co-attentive Communication Mechanism

Author:

Gong Ning,Li Zhi,Li Shaohui,Ke Yuxin,Jiang Zhizhuo,Li Yaowen,Liu Yu

Publisher

Springer Nature Singapore

Reference22 articles.

1. Chen, S., Liu, B., Feng, C., Vallespi-Gonzalez, C., Wellington, C.: 3D point cloud processing and learning for autonomous driving: impacting map creation, localization, and perception. IEEE Sig. Process. Mag. 38(1), 68–86 (2020)

2. Das, A., et al.: TarMAC: targeted multi-agent communication. In: International Conference on Machine Learning, pp. 1538–1546. PMLR (2019)

3. Ferber, J.: Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence, 1st edn. Addison-Wesley Longman Publishing Co., Inc. (1999)

4. Foerster, J., Assael, I.A., De Freitas, N., Whiteson, S.: Learning to communicate with deep multi-agent reinforcement learning. In: Advances in Neural Information Processing Systems, vol. 29 (2016)

5. Harding, J., et al.: Vehicle-to-vehicle communications: readiness of V2V technology for application. Technical report, United States, National Highway Traffic Safety Administration (2014)

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