Funder
Zimin Institute for Engineering Solutions Advancing Better Lives
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Reference63 articles.
1. Foerster JN (2018) Deep multi-agent reinforcement learning. PhD thesis, University of Oxford
2. Zhang K, Yang Z, Başar T (2021) In: Vamvoudakis, K.G., Wan, Y., Lewis, F.L., Cansever, D. (eds.) Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms, pp. 321–384. Springer, Cham. https://doi.org/10.1007/978-3-030-60990-0_12
3. Gupta JK, Egorov M, Kochenderfer M (2017) Cooperative multi-agent control using deep reinforcement learning. In: Inter. Conf. on Autonomous Agents and Multiagent Systems, pp. 66–83
4. Hüttenrauch M, Sosic A, Neumann G (2017) Guided deep reinforcement learning for swarm systems. CoRR abs/1709.06011
5. Yasuda T, Ohkura K (2019) Sharing experience for behavior generation of real swarm robot systems using deep reinforcement learning. Jour. of Robotics and Mechatronics 31(4):520–525