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cs.LG2024
Scalable Offline Reinforcement Learning for Mean Field Games
Axel Brunnbauer, Julian Lemmel, Zahra Babaiee +2
Reinforcement learning algorithms for mean-field games offer a scalable framework for optimizing policies in large populations of interacting agents. Existing methods often depend…
cs.RO2024
Scenario-Based Curriculum Generation for Multi-Agent Autonomous Driving
Axel Brunnbauer, Luigi Berducci, Peter Priller +2
The automated generation of diverse and complex training scenarios has been an important ingredient in many complex learning tasks. Especially in real-world application domains, su…