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pro vyhledávání: '"Donâncio, Henrique"'
In Deep Reinforcement Learning models trained using gradient-based techniques, the choice of optimizer and its learning rate are crucial to achieving good performance: higher learning rates can prevent the model from learning effectively, while lower
Externí odkaz:
http://arxiv.org/abs/2410.12598
Deep Reinforcement Learning (DRL) has achieved remarkable success in scenarios such as games and has emerged as a potential solution for control tasks. That is due to its ability to leverage scalability and handle complex dynamics. However, few works
Externí odkaz:
http://arxiv.org/abs/2210.11111