Update README

README.md

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 <h2 align="center" style="border-bottom: 0 !important;">SKRL - Reinforcement Learning library</h2>
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-**skrl** is an open-source modular library for Reinforcement Learning written in Python (on top of [PyTorch](https://pytorch.org/) and [JAX](https://jax.readthedocs.io)) and designed with a focus on modularity, readability, simplicity, and transparency of algorithm implementation. In addition to supporting the OpenAI [Gym](https://www.gymlibrary.dev) / Farama [Gymnasium](https://gymnasium.farama.org) and [DeepMind](https://github.com/deepmind/dm_env) and other environment interfaces, it allows loading and configuring [NVIDIA Isaac Gym](https://developer.nvidia.com/isaac-gym/), [NVIDIA Isaac Orbit](https://isaac-orbit.github.io/orbit/index.html) and [NVIDIA Omniverse Isaac Gym](https://docs.omniverse.nvidia.com/isaacsim/latest/tutorial_gym_isaac_gym.html) environments, enabling agents' simultaneous training by scopes (subsets of environments among all available environments), which may or may not share resources, in the same run.
+**skrl** is an open-source modular library for Reinforcement Learning written in Python (on top of [PyTorch](https://pytorch.org/) and [JAX](https://jax.readthedocs.io)) and designed with a focus on modularity, readability, simplicity, and transparency of algorithm implementation. In addition to supporting the OpenAI [Gym](https://www.gymlibrary.dev) / Farama [Gymnasium](https://gymnasium.farama.org) and [DeepMind](https://github.com/deepmind/dm_env) and other environment interfaces, it allows loading and configuring [NVIDIA Isaac Gym](https://developer.nvidia.com/isaac-gym/), [NVIDIA Omniverse Isaac Gym](https://docs.omniverse.nvidia.com/isaacsim/latest/tutorial_gym_isaac_gym.html) and [NVIDIA Isaac Lab](https://isaac-sim.github.io/IsaacLab/index.html) environments, enabling agents' simultaneous training by scopes (subsets of environments among all available environments), which may or may not share resources, in the same run.
 
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