🎾 Multi-Agent Proximal Policy Optimization approach to a competitive reinforcement learning problem
My implementations of various DS and algorithms, alongwith my submissions on coding platforms like Codechef, Hackerrank, Hackerearth etc.
Module 4 of the course IT-3105 Artificial intelligence programming at NTNU. Self organizing maps are based on unsupervised, competitive learning. For this project, the neural network is structured after the "Kohonen network".
This Repository consists the problems of Codeforces contests.
KATE: K-Competitive Autoencoder for Text
List of all the competitive problems attempted by me with their solutions.
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