Source code repository for search agents’ training environment is set up. The environment provides macros definitions in C++ that make the training programs easy to read. It implements the concepts of training stages, training bots that communicate with the agents, and alphabet keys for the communication that can be shared among the bots on different stages. An examinator bot can be assigned on each stage to control the training progress of the agent.
The training environment is used in some ELEPHANT examples of how to train Machine Understanding.