[Nit] Small fixes

Author: matteobettini

vmas/simulator/dynamics/kinematic_bicycle.py

@@ -1,4 +1,4 @@
-#  Copyright (c) 2023-2024.
+#  Copyright (c) 2023-2025.
 #  ProrokLab (https://www.proroklab.org/)
 #  All rights reserved.
 
@@ -71,8 +71,6 @@ def needed_action_size(self) -> int:
     def process_action(self):
         # Extracts the velocity and steering angle from the agent's actions and convert them to physical force and torque
         v_command = self.agent.action.u[:, 0]
-        # Ensure speed is within bounds
-        v_command = torch.clamp(v_command, -self.agent.max_speed, self.agent.max_speed)
         steering_command = self.agent.action.u[:, 1]
         # Ensure steering angle is within bounds
         steering_command = torch.clamp(

vmas/simulator/scenario.py

@@ -1,4 +1,4 @@
-#  Copyright (c) 2022-2024.
+#  Copyright (c) 2022-2025.
 #  ProrokLab (https://www.proroklab.org/)
 #  All rights reserved.
 import typing
@@ -297,7 +297,7 @@ def reward(self, agent: Agent) -> AGENT_REWARD_TYPE:
         """
         raise NotImplementedError()
 
-    def done(self):
+    def done(self) -> Tensor:
         """This function computes the done flag for each env in a vectorized way.
 
         The returned tensor should contain the ``done`` for all envs and should have