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agents

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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…

  • Updated May 20, 2021
  • C++

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.

  • Updated Mar 22, 2024
  • C++

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