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wip deepQlearning

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fanasina
2024-06-14 23:07:39 +02:00
parent 474af56377
commit e96304bee7
4 changed files with 13 additions and 7 deletions
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deepQlearn_0/src/deepQlearning/learn_to_drive.c
+8 -4
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@@ -71,6 +71,7 @@ struct delay_params * create_delay_params (
}
struct qlearning_params * create_qlearning_params (
double gamma,
double learning_rate,
double discount_factor,
double exploration_factor,
@@ -78,6 +79,7 @@ struct qlearning_params * create_qlearning_params (
){
struct qlearning_params * qparams = malloc(sizeof(struct qlearning_params));
qparams->gamma = gamma;
qparams->learning_rate = learning_rate ;
qparams->discount_factor = discount_factor ;
qparams->exploration_factor = exploration_factor ;
@@ -148,10 +150,12 @@ void train_qlearning(struct RL_agent * rlAgent,
tensor_TYPE_FLOAT * experimental_values = CREATE_TENSOR_FROM_CPY_DIM_TYPE_FLOAT(action_value->dim);
struct game_status * car_status = rlAgent->car->status;
if( copy_tensor_TYPE_FLOAT(experimental_values, action_value) == 0 /* done */){
if(car_status->done){
}
copy_tensor_TYPE_FLOAT(experimental_values, action_value) ;
// experimental_values === Q-tab learning
if(car_status->done){
experimental_values->x[action] = -100;
}else {
experimental_values->x[action] = reward + rlAgent->qlearnParams->gamma * MAX_ARRAY_TYPE_FLOAT(next_action_value->x, next_action_value->dim->rank) ;
}
}