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An environment model in multi-agent reinforcement learning with decentralized training

Niedziółka-Domański Rafał, Bylina Jarosław

Annals of Computer Science and Information Systems

2024

Vol. 39

661--666

In multi-agent reinforcement learning scenarios, independent learning, where agents learn independently based on their observations, is often preferred for its scalability and simplicity compared to centralized training. However, it faces significant challenges due to the non-stationary nature of the environment from each agent's perspective.