Sigmoid-weighted linear units for neural network function approximation in reinforcement learning
نویسندگان
چکیده
منابع مشابه
Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning
In recent years, neural networks have enjoyed a renaissance as function approximators in reinforcement learning. Two decades after Tesauro's TD-Gammon achieved near top-level human performance in backgammon, the deep reinforcement learning algorithm DQN achieved human-level performance in many Atari 2600 games. The purpose of this study is twofold. First, we propose two activation functions for...
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ژورنال
عنوان ژورنال: Neural Networks
سال: 2018
ISSN: 0893-6080
DOI: 10.1016/j.neunet.2017.12.012