Reward_function: Q-learning reward functions that are defined specifically for...
In fengcong1992/QLearningForecast: Reinforced Load Forecasting via Q-Learning Dynamic Model Selection
View source: R/Reward_function.R
Reward_function R Documentation
Q-learning reward functions that are defined specifically for deterministic forecasting
Author: Cong Feng
This function calculates rewards for Q-learning agents
Description
Q-learning reward functions that are defined specifically for deterministic forecasting
Author: Cong Feng
This function calculates rewards for Q-learning agents
Usage
Reward_function(data_input, rwd_strategy)
Arguments
data_input
input data that contains states and actions in time series format
rwd_strategy
reward strategy index
Value
rewards
fengcong1992/QLearningForecast documentation built on Oct. 11, 2022, 1:47 p.m.
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View source: R/Reward_function.R
| Reward_function | R Documentation |
Q-learning reward functions that are defined specifically for deterministic forecasting Author: Cong Feng This function calculates rewards for Q-learning agents
Description
Q-learning reward functions that are defined specifically for deterministic forecasting Author: Cong Feng This function calculates rewards for Q-learning agents
Usage
Reward_function(data_input, rwd_strategy)
Arguments
data_input |
input data that contains states and actions in time series format |
rwd_strategy |
reward strategy index |
Value
rewards
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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