API Reference

Contents

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

Env

Environments

Agents

Agents

ActionFunctions

Action Functions

ObservationFunctions

Observation Functions

RewardFunctions

Reward Functions

EpisodeFunctions

Episode Functions

Utils

Utilities

PostProcess

Post Process Functions