Robust and Scalable Multiagent Reinforcement Learning in Adversarial Scenarios
Multiagent decision-making is a ubiquitous problem with many real-world applications, such as autonomous driving, multi-player video games, and robot team sports. Key challenges of multiagent learning include the presence of uncertainty in the other agent’s behaviors and the curse of dimensionality...
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| Формат: | Дисертація |
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Massachusetts Institute of Technology
2022
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| Онлайн доступ: | https://hdl.handle.net/1721.1/144626 |