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Pacman++ First C++ project. Using threading, windows graphics, struct pointers, recursive functions and basic AI for all 4 ghosts, along with being dynamic enough to scale to multiple levels. Completely text-based for console.
ELEPHANT environment is for training Markov Decision Process agents provides macros definitions that make the training programs easy to read. It implements the concepts of training stages, training bots that communicate with the agents, and atomic keys used to build the communication messages. The keys can be shared among the bots on different s…
REILLY is a Reinforcement Learning Library based on "Reinforcement Learning - An Introduction (second edition)" written by Sutton & Barto, developed with love by a foolish couple of computer scientists.
An implementation of Actor, Publish-Subscribe, and CSP models in one rather small C++ framework. With performance, quality, and stability proved by years in the production.