The RL-Glue is intended to provide a foundation for building benchmarks for reinforcement learning (RL) agents. A secondary goal is to support RL competitions in which agents are compared in their performance on new problems that are only revealed at the time of a competition. The current version of the interface software supports direct function call communication between agents and environments written in C. The interface software also provides a standard mechanism for communication between agents and environments written in different programming languages.
|Tags||Scientific/Engineering Artificial Intelligence Software Development Testing|
|Implementation||C C++ Java|
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