Playing MOBA game using Deep Reinforcement Learning -- part 2

#artificialintelligence 

In the last post, we learn how to train a simple MOBA game using Deep Reinforcement Learning. In this post, I am going to explain what we need to know before applying the same method to the Dota2. You just need to run the Dotaservice and that code together at same PC. Unlike Derk training, each headless environment of Dota2 requires more than 1GB of RAM memory. Therefore, it is better to use a separate PC for running only environment because DRL training is usually better when there are many environments.

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