eprllib.RewardFunctions#
Reward functions in eprllib#
The reward functions are called in the step()
method in the environment iteratively for
each agent present in the respective timestep.
In this module contain the reward functions used in the reinforcement learning and implemented in eprllib.
You can implement your own reward function by creating a new class that inherits from
RewardFunction
and overriding the calculate_reward
method.
Modules
Reward Funtion |
|
Comfort rewards |
|
Energy and ASHRAE 55 Simple Model reward function |
|
Energy and CEN 15251 reward function |
|
Energy rewards |