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A deep reinforcement learning model, designed to multitask multiple unique tasks without forgetting how to do previously learned tasks

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Polygame-AI-Multi-task-Deep-Reinforcement-Learning-in-Atari

This research aims to explore the field of Multi-Task Reinforcement Learning. With a slight modification to the Deep Q-Network algorithm, Polygame AI is capable of learning to play several Atari games. Future work involves scaling our algorithm up to a more complex and diverse set of tasks.

Utilizes CleanRL's dqn-atari code as a base, found in this git repository: https://github.com/vwxyzjn/cleanrl/blob/master/LICENSE

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A deep reinforcement learning model, designed to multitask multiple unique tasks without forgetting how to do previously learned tasks

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