(ML Agent)Continuous Actions and Discrete Actions always return the same outcome | Official Unity Discord | Page 1

When I run the training AI the Continuous Actions and Discrete Actions always return the same outcome, and the AI does not seem to learn any thing from that. Am I missing something?

   public override void OnActionReceived(ActionBuffers actions)
    {
        Debug.Log("Move X:" + actions.ContinuousActions[0]);
        Debug.Log("Move Y:" +actions.ContinuousActions[1]);
        Debug.Log("Rotate:" + actions.ContinuousActions[2]);
        if (!moveLock)
        {
            controller.HorizontalMovement(actions.ContinuousActions[0], actions.ContinuousActions[1]);
        }
        controller.HorizontalRotation(actions.ContinuousActions[2]);

        //Jump
        Debug.Log("jumpAction:" + actions.DiscreteActions[0]);
        int jumpAction = actions.DiscreteActions[0];
        if (jumpAction == 0&& !jumpLock)
        {
            if (controller.JumpAction())
            {
                AddReward(-0.1f);
            }
        }
        Debug.Log("LeftHandAttack:" + actions.DiscreteActions[1]);
        //Left Hand Attack
        int LHandAction = actions.DiscreteActions[1];
    
        if (LHandAction==0)
        {
            controller.LeftHandAttack();
        }
        Debug.Log("RightHandAttack:" + actions.DiscreteActions[2]);
        //Right Hand Attack
        int RHandAction = actions.DiscreteActions[2];
        if (RHandAction == 0)
        {
            controller.RightHandAttack();
        }
        Debug.Log(".Sprint:" + actions.DiscreteActions[3]);
        //.Sprint
        int dashAction = actions.DiscreteActions[3];
        if (dashAction == 0 &&!dashLock)
        {
            controller.SprintAction();
        }
    }

#(ML Agent)Continuous Actions and Discrete Actions always return the same outcome