a2rl.utils.reward_function#

a2rl.utils.reward_function(df, lag, mask=False)[source]#

Test for a reward function in the data H(r|state,action) based on their conditional entropies.

Parameters:
  • df (WiDataFrame) – a discretized dataframe.

  • lag (int) – int for the lag.

Return type:

float

Returns:

Returns the conditional entropy of reward given various lags. It is masked if the information gain is better than random