Summary: Explores word prediction/autocomplete using a trie data structure. Includes a demo and the source code of the trie implementation.
Summary: A Python example of a Markov model. How to implemented a Markov chain to generate sentences based on a given text file. Describes the process of building a dictionary of word chains and demonstrate how the model can generate sentences.
Summary: My talk on building autonomous agents with gym-retro, presented at the 10th edition of The MindCamp event, including the source code and demos.
Summary: A discussion on the concept of 'Good AI vs Fun AI' in game design.