Projects / RL-Glue

RL-Glue

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.

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  •  09 Nov 2005 05:24

    No changes have been submitted for this release.

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