My project is implementation of reinforcement learning based data caching in wireless networks. First problem dynamics have to be defined through markov decision process, then q-learning has to be used to optimize the reward of the system in terms of network delay minimization.
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Hello! I'd like to help you with a reinforcement learning application. I'm familiar with DQN, DDPG as well as have practical experience in their application. I can do the job blazingly fast. Please, give me a try!