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[HTML][HTML] Efficient deep reinforcement learning for optimal path planning
J Ren, X Huang, RN Huang - Electronics, 2022 - mdpi.com
In this paper, we propose a novel deep reinforcement learning (DRL) method for optimal
path planning for mobile robots using dynamic programming (DP)-based data collection …
path planning for mobile robots using dynamic programming (DP)-based data collection …
Bconv-elm: Binary weights convolutional neural network simulator based on keras/tensorflow, for low complexity implementations
A deep investigation of the possibility to minimize complexity, while kee** accuracy at its
highest values is considered, centered around the idea of building specialized convolutional …
highest values is considered, centered around the idea of building specialized convolutional …