API Reference#
Here is the reference documentation to the eprllib API.
eprllib#
eprllib provides a set of methods to establish the computational loop of EnergyPlus within a Markov Decision Process (MDP), treating it as a multi-agent environment compatible with RLlib. The main goal is to offer a simple configuration of EnergyPlus as a standard environment for experimentation with Deep Reinforcement Learning.
Modules
Environments |
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Agents |
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Action Functions |
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Observation Functions |
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Reward functions in eprllib |
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Episode Functions |
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Utilities |
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Post Process Functions |