Developed an Artificial Intelligence using PySC2 to train supervised agents to play the game using the concept of Reinforcement Learning (RL) and Broke down the game into manageable chunks to test RL agents on game specific tasks, and make meaningful actions in the game possible. Download the train Data from here https://drive.google.com/file/d/1cO0BmbUhE2HsUC5ttQrLQC_wLTdCn2-u/view
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Developed an Artificial Intelligence using PySC2 to train supervised agents to play the game using the concept of Reinforcement Learning (RL) and Broke down the game into manageable chunks to test RL agents on game specific tasks, and make meaningful actions in the game possible.
adi1999/Deep-Learning-Starcraft-II
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Developed an Artificial Intelligence using PySC2 to train supervised agents to play the game using the concept of Reinforcement Learning (RL) and Broke down the game into manageable chunks to test RL agents on game specific tasks, and make meaningful actions in the game possible.
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