Publisher
Springer Science and Business Media LLC
Reference40 articles.
1. Vinyals O, Babuschkin I, Czarnecki WM, Mathieu M, Dudzik A, Chung J, Choi DH, Powell R, Ewalds T, Georgiev P et al (2019) Grandmaster level in starcraft ii using multi-agent reinforcement learning. Nature, 350-354
2. Chen Y, Zheng Z, Gong X (2022) Marnet: Backdoor attacks against cooperative multi-agent reinforcement learning. IEEE Trans Dependable Sec Comput, 1-11
3. Liu X, Wang G, Chen K (2022) Option-based multi-agent reinforcement learning for painting with multiple large-sized robots. IEEE Trans Intell Transp Syst, 15707-15715
4. Chen YJ, Chang DK, Zhang C (2020) Autonomous tracking using a swarm of uavs: A constrained multi-agent reinforcement learning approach. IEEE Trans Veh Technol. 13702-13717
5. Zhou W, Chen D, Yan J, Li Z, Yin H, Ge W (2022) Multi-agent reinforcement learning for cooperative lane changing of connected and autonomous vehicles in mixed traffic. Auton Intell Syst