A collection of AI algorithms and techniques covering intelligent agents, search strategies (BFS, DFS, A*), probabilistic reasoning (Bayesian networks, HMM), neural networks (feed-forward, Hopfield), and reinforcement learning. Topics include adversarial search, alpha-beta pruning, decision trees, Markov processes, and game theory applications.
markov-model reinforcement-learning neural-network markov dfs bfs decision-trees heuristic-search-algorithms single baysian-network markovdecisionprocesses
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Updated
Oct 23, 2024 - Python