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Deep Q Learning:

Here are some good DQN Python codes. They are all free to be downloaded. You need to use Python > 3.7 and Tensorflow >2.0 to run them.

  1. https://github.com/anita-hu/TF2-RL
  2. https://github.com/chagmgang/tf2.0_reinforcement_learning
  3. https://github.com/marload/DeepRL-TensorFlow2

Deep Reinforcement Learning:

Here are some good DQN Python codes. They are all free to be downloaded. You need to use Python > 3.7 and Tensorflow >2.0 to run them.

  1. https://github.com/anita-hu/TF2-RL
  2. https://github.com/chagmgang/tf2.0_reinforcement_learning
  3. https://github.com/marload/DeepRL-TensorFlow2

Interesting Videos:

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AT&T cow

AT&T Deploys Flying Cell on Wings (COW) After Hurricane Michael.

Machine Learning Publications:

  1. L. Zhang, B. Jabbari and N. Ansari, “Deep Reinforcement Learning Driven UAV-assisted Edge Computing,” IEEE Internet of Things Journal, Jul. 2022, doi: 10.1109/JIOT.2022.3196842, early access.
  2. L. Zhang and B. Jabbari, “Machine Learning Driven Latency Optimization for Application-aware Edge Computing-based IoTs,” Proc. IEEE International Conference on Communications (ICC), pp. 183-188, May 2022.
  3. L. Zhang, B. Jabbari and N. Ansari, “Machine Learning Driven UAV-assisted Edge Computing,” Proc. IEEE Wireless Communications and Networking Conference (WCNC), pp. 2220-2225, Apr. 2022.