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View Code? Open in Web Editor NEWLyapunov-guided Deep Reinforcement Learning for Stable Online Computation Offloading in Mobile-Edge Computing Networks
License: MIT License
Lyapunov-guided Deep Reinforcement Learning for Stable Online Computation Offloading in Mobile-Edge Computing Networks
License: MIT License
How should the calculation task be adjusted if it is composed of multiple independent subtasks?
First of all, I'd like to thank you for the open source codes. If I may ask, where is the data for the Tensorflow version of the LyDROO, thy PyTorch is self generated , how about the Tensorflow version? Thank you.
Hi, Thank you for sharing the code, when I ran the code, I got the flowing error message, please help me to solve this problem:
Traceback (most recent call last): File "/content/LyDROO/LyDROOwithTF2conv.py", line 183, in plot_rate(Q, 100, 'Data Queue of WDs') File "/content/LyDROO/LyDROOwithTF2conv.py", line 39, in plot_rate plt.plot(np.arange(len(rate_array))+1, df.rolling(rolling_intv, min_periods=1).mean()) File "/usr/local/lib/python3.7/dist-packages/matplotlib/pyplot.py", line 2763, in plot is not None else {}), **kwargs) File "/usr/local/lib/python3.7/dist-packages/matplotlib/axes/_axes.py", line 1647, in plot lines = [*self._get_lines(*args, data=data, **kwargs)] File "/usr/local/lib/python3.7/dist-packages/matplotlib/axes/_base.py", line 216, in __call__ yield from self._plot_args(this, kwargs) File "/usr/local/lib/python3.7/dist-packages/matplotlib/axes/_base.py", line 332, in _plot_args y = _check_1d(tup[-1]) File "/usr/local/lib/python3.7/dist-packages/matplotlib/cbook/__init__.py", line 1349, in _check_1d ndim = x[:, None].ndim File "/usr/local/lib/python3.7/dist-packages/pandas/core/frame.py", line 2906, in __getitem__ indexer = self.columns.get_loc(key) File "/usr/local/lib/python3.7/dist-packages/pandas/core/indexes/range.py", line 358, in get_loc raise KeyError(key) KeyError: (slice(None, None, None), None)# real-time arrival generation
dataA[i, :] = np.random.exponential(arrival_lambda)
这样生成的不应该是一系列任务到达间隔么?为什么可以用来代指每个时隙内到达的数据量?
目前这方面的工作似乎都是二进制卸载?即x={0,1},但如果是多个WD,多个EC,每个WD可以决策卸载到任意一个EC,甚至可以通过多种路径(中继转发、直接传输),这时候应该如何考虑呢?有无相关工作
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