Training Ants with RL
We created a multi-agent simulation of ants and trained them to search for food using RL.
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We created a multi-agent simulation of ants and trained them to search for food using RL.
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Here, I train a DQN agent to finish the first level of Mario Bros using PyBoy
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This project is about creating and training a CycleGAN with a dataset of CT scans and T2 MRI.
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In a competition between students in the course ‘Foundation of AI’, we tried to make the best AI using the search algorithm A*.
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This project’s aim was to see how local socio-economic features could help predict the result of an election.
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