diff --git a/R/rl_dnn_config.R b/R/rl_dnn_config.R
index bcbc3bc..4e21cf0 100644
--- a/R/rl_dnn_config.R
+++ b/R/rl_dnn_config.R
@@ -20,7 +20,6 @@
 #'   N_total = 150, N_ini = rep(10, 5), N_block = 10, Delta = 1.3,
 #'   outcome_type = "continuous", sd_normal = sqrt(4.5), 
 #'   seed = 123, 
-#'   # We change iter to 200 and cores to 8
 #'   rl_config = rl_config_set(
 #'     iter = 1000, 
 #'     # We change the DNN model
diff --git a/R/simulate_one_trial.R b/R/simulate_one_trial.R
index 12f95c4..31848ce 100644
--- a/R/simulate_one_trial.R
+++ b/R/simulate_one_trial.R
@@ -80,7 +80,7 @@
 #'   true_response = true_response_list[[true_model_name]],
 #'   N_total = 150, N_ini = rep(10, 5), N_block = 10, 
 #'   Delta = 1.3, outcome_type = "continuous", sd_normal = sqrt(4.5),
-#'   alpha = adjusted_alpha, seed = simID, eval_type = "all"
+#'   alpha = adjusted_alpha, seed = 123, eval_type = "all"
 #' )}
 #' 
 #' @importFrom stats coef binomial glm plogis predict rbinom rnorm vcov
diff --git a/man/rl_dnn_config.Rd b/man/rl_dnn_config.Rd
index 3b2d7b0..5b5918f 100644
--- a/man/rl_dnn_config.Rd
+++ b/man/rl_dnn_config.Rd
@@ -35,7 +35,6 @@ allocation_rule <- learn_allocation_rule(
   N_total = 150, N_ini = rep(10, 5), N_block = 10, Delta = 1.3,
   outcome_type = "continuous", sd_normal = sqrt(4.5), 
   seed = 123, 
-  # We change iter to 200 and cores to 8
   rl_config = rl_config_set(
     iter = 1000, 
     # We change the DNN model
diff --git a/man/simulate_one_trial.Rd b/man/simulate_one_trial.Rd
index 0156bd7..32b56b5 100644
--- a/man/simulate_one_trial.Rd
+++ b/man/simulate_one_trial.Rd
@@ -117,7 +117,7 @@ res_one <- simulate_one_trial(
   true_response = true_response_list[[true_model_name]],
   N_total = 150, N_ini = rep(10, 5), N_block = 10, 
   Delta = 1.3, outcome_type = "continuous", sd_normal = sqrt(4.5),
-  alpha = adjusted_alpha, seed = simID, eval_type = "all"
+  alpha = adjusted_alpha, seed = 123, eval_type = "all"
 )}
 
 }