AIRicky / Awesome-Reinforcement-Learning

We explore the application of deep reinforcement learning in the field of robotic control, the cooperative and competitive behavior of multi-agents in different game types, including RPG and MOBA, cloud infrastructure, and software engineering as well.

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Awesome Reinforcement-Learning

In this repository, we aim to explore the application of deep reinforcement learning in the field of robotic control, the cooperative and competitive behavior of multi-agent in different game types, including RPG and MOBA, cloud infrastructure (virtual machine, dockers), and software engineering (defect auto-detection) as well.

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We explore the application of deep reinforcement learning in the field of robotic control, the cooperative and competitive behavior of multi-agents in different game types, including RPG and MOBA, cloud infrastructure, and software engineering as well.


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Language:MATLAB 91.5%Language:Python 8.4%Language:M 0.1%