refactor(reforcexy): remove unneeded defaults

Signed-off-by: Jérôme Benoit <jerome.benoit@piment-noir.org>

diff --git a/ReforceXY/user_data/freqaimodels/ReforceXY.py b/ReforceXY/user_data/freqaimodels/ReforceXY.py
index 0252b4d18c521124eaa39bc139cefc37e0339f96..a23a61c6548e34f69ef921f411c3255e17534335 100644 (file)
--- a/ReforceXY/user_data/freqaimodels/ReforceXY.py
+++ b/ReforceXY/user_data/freqaimodels/ReforceXY.py
@@ -438,9 +438,6 @@ class ReforceXY(BaseReinforcementLearningModel):
         model_params["policy_kwargs"]["optimizer_class"] = get_optimizer_class(
             model_params.get("policy_kwargs", {}).get("optimizer_class", "adamw")
         )
-        if "RecurrentPPO" in self.model_type:
-            model_params["policy_kwargs"].setdefault("lstm_hidden_size", 256)
-            model_params["policy_kwargs"].setdefault("n_lstm_layers", 1)
 
         self._model_params_cache = model_params
         return copy.deepcopy(self._model_params_cache)