Key Concepts#
Work in progres…[]
eprllib serves the environment to use later on RLlib. To conigurate the environment the class EnvConfig
is
used. Two methods in this class allow the correct configuration of the general parameters of a EnergyPlus model
and the agents specifics variables: observations, actions, and rewards.
Aditionaly, four classes are stablished to provide flexibility in the environment configuration:
RewardFuntions
ActionFuntions
ObservationFuntions
EpisodeFunctions
Work in progres…