diff --git a/torchrl/envs/common.py b/torchrl/envs/common.py
index 3277158af57..16ce7d0d534 100644
--- a/torchrl/envs/common.py
+++ b/torchrl/envs/common.py
@@ -3039,6 +3039,7 @@ def __init__(
 
         self._constructor_kwargs = kwargs
         self._check_kwargs(kwargs)
+        self._convert_actions_to_numpy = kwargs.pop("convert_actions_to_numpy", True)
         self._env = self._build_env(**kwargs)  # writes the self._env attribute
         self._make_specs(self._env)  # writes the self._env attribute
         self.is_closed = False
diff --git a/torchrl/envs/gym_like.py b/torchrl/envs/gym_like.py
index d2b6e0f23fa..82f42180913 100644
--- a/torchrl/envs/gym_like.py
+++ b/torchrl/envs/gym_like.py
@@ -172,6 +172,7 @@ class GymLikeEnv(_EnvWrapper):
     def __new__(cls, *args, **kwargs):
         self = super().__new__(cls, *args, _batch_locked=True, **kwargs)
         self._info_dict_reader = []
+
         return self
 
     def read_action(self, action):
@@ -289,7 +290,8 @@ def read_obs(
 
     def _step(self, tensordict: TensorDictBase) -> TensorDictBase:
         action = tensordict.get(self.action_key)
-        action_np = self.read_action(action)
+        if self._convert_actions_to_numpy:
+            action = self.read_action(action)
 
         reward = 0
         for _ in range(self.wrapper_frame_skip):
@@ -300,7 +302,7 @@ def _step(self, tensordict: TensorDictBase) -> TensorDictBase:
                 truncated,
                 done,
                 info_dict,
-            ) = self._output_transform(self._env.step(action_np))
+            ) = self._output_transform(self._env.step(action))
 
             if _reward is not None:
                 reward = reward + _reward
diff --git a/torchrl/envs/libs/gym.py b/torchrl/envs/libs/gym.py
index 8431d155ee2..34af87b75f9 100644
--- a/torchrl/envs/libs/gym.py
+++ b/torchrl/envs/libs/gym.py
@@ -645,6 +645,11 @@ class GymWrapper(GymLikeEnv, metaclass=_AsyncMeta):
         allow_done_after_reset (bool, optional): if ``True``, it is tolerated
             for envs to be ``done`` just after :meth:`~.reset` is called.
             Defaults to ``False``.
+        convert_actions_to_numpy (bool, optional): if ``True``, actions will be
+            converted from tensors to numpy arrays and moved to CPU before being passed to the
+            env step function. Set this to ``False`` if the environment is evaluated
+            on GPU, such as IsaacLab.
+            Defaults to ``True``.
 
     Attributes:
         available_envs (List[str]): a list of environments to build.