Shypd.aiThe largest open index of AI toolsDROO is an open-source deep reinforcement learning tool for online computation offloading in wireless powered mobile-edge computing networks. It uses time-varying wireless channel gains as input to make binary offloading decisions.
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DROO is an open-source project providing a Deep Reinforcement Learning algorithm for online computation offloading in Wireless Powered Mobile-Edge Computing (WPMEC) networks. The tool takes time-varying wireless channel gains as input and generates binary offloading decisions. It includes DNN structures for WPMEC, along with training and testing functionalities. Implementations are available for Tensorflow 1.x, Tensorflow 2, and PyTorch, making it accessible to developers with different deep learning framework preferences. The repository also provides data sets and demo files to evaluate performance under various conditions, such as alternating weights and random device turn-on/off scenarios.
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