scholarly journals Reinforcement learning of recurrent neural network for temporal coding

2008 ◽  
Vol 71 (16-18) ◽  
pp. 3379-3386 ◽  
Author(s):  
Daichi Kimura ◽  
Yoshinori Hayakawa
Keyword(s):  
Neural Network ◽  
Reinforcement Learning ◽  
Recurrent Neural Network ◽  
Temporal Coding

scholarly journals A novel mobile robot navigation method based on deep reinforcement learning

2020 ◽  
Vol 17 (3) ◽  
pp. 172988142092167
Author(s):  
Hao Quan ◽  
Yansheng Li ◽  
Yi Zhang
Keyword(s):  
Neural Network ◽  
Reinforcement Learning ◽  
Mobile Robots ◽  
Recurrent Neural Network ◽  
Three Dimensional ◽  
Mobile Robot Navigation ◽  
Simulation Environment ◽  
Network Modules ◽  
Good Improvement ◽  
Dimensional Simulation

At present, the application of mobile robots is more and more extensive, and the movement of mobile robots cannot be separated from effective navigation, especially path exploration. Aiming at navigation problems, this article proposes a method based on deep reinforcement learning and recurrent neural network, which combines double net and recurrent neural network modules with reinforcement learning ideas. At the same time, this article designed the corresponding parameter function to improve the performance of the model. In order to test the effectiveness of this method, based on the grid map model, this paper trains in a two-dimensional simulation environment, a three-dimensional TurtleBot simulation environment, and a physical robot environment, and obtains relevant data for peer-to-peer analysis. The experimental results show that the proposed algorithm has a good improvement in path finding efficiency and path length.

scholarly journals Spiking neural network reinforcement learning method based on temporal coding and STDP

2018 ◽  
Vol 145 ◽  
pp. 458-463 ◽  
Author(s):  
Alexander Sboev ◽  
Danila Vlasov ◽  
Roman Rybka ◽  
Alexey Serenko
Keyword(s):  
Neural Network ◽  
Reinforcement Learning ◽  
Temporal Coding ◽  
Spiking Neural Network ◽  
Learning Method
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