Update README.md

Author: jkterry1

README.md

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-## Important notice
-
-### Due to issues with the domain registration, the documentation has been moved to [https://www.gymlibrary.dev/](https://www.gymlibrary.dev/) as opposed to the old .ml address.
-
 ## Gymnasium
 
-Gymnasium is an open source Python library for developing and comparing reinforcement learning algorithms by providing a standard API to communicate between learning algorithms and environments, as well as a standard set of environments compliant with that API. Since its release, Gym's API has become the field standard for doing this.
-
-Gym documentation website is at [https://www.gymlibrary.dev/](https://www.gymlibrary.dev/), and you can propose fixes and changes to it [here](https://github.com/Farama-Foundation/gym-docs).
+Gymnasium is an open source Python library for developing and comparing reinforcement learning algorithms by providing a standard API to communicate between learning algorithms and environments, as well as a standard set of environments compliant with that API. This is a fork of OpenAI's Gym library by the maintainers, and is where future maintenance will occur going forward
 
-Gym also has a discord server for development purposes that you can join here: https://discord.gg/nHg2JRN489
+Gym documentation website is at [gymnasium.farama.org](https://gymnasium.farama.org), and a discord server you can join (which we use to coordinate development work) here: https://discord.gg/nHg2JRN489
 
 ## Installation
 
-To install the base Gym library, use `pip install gym`.
+To install the base Gymnasium library, use `pip install gymnasium`.
 
-This does not include dependencies for all families of environments (there's a massive number, and some can be problematic to install on certain systems). You can install these dependencies for one family like `pip install gym[atari]` or use `pip install gym[all]` to install all dependencies.
+This does not include dependencies for all families of environments (there's a massive number, and some can be problematic to install on certain systems). You can install these dependencies for one family like `pip install gymnasium[atari]` or use `pip install gym[all]` to install all dependencies.
 
-We support Python 3.7, 3.8, 3.9 and 3.10 on Linux and macOS. We will accept PRs related to Windows, but do not officially support it.
+We support and test for Python 3.7, 3.8, 3.9 and 3.10 on Linux and macOS. We will accept PRs related to Windows, but do not officially support it.
 
 ## API
 
-The Gym API's API models environments as simple Python `env` classes. Creating environment instances and interacting with them is very simple- here's an example using the "CartPole-v1" environment:
+The Gymnasium API models environments as simple Python `env` classes. Creating environment instances and interacting with them is very simple- here's an example using the "CartPole-v1" environment:
 
 ```python
 import gymnasium as gym
@@ -44,29 +38,17 @@ env.close()
 * [RL Baselines3 Zoo](https://github.com/DLR-RM/rl-baselines3-zoo) builds upon SB3, containing optimal hyperparameters for Gym environments as well as code to easily find new ones.
 * [Tianshou](https://github.com/thu-ml/tianshou) is a learning library that's geared towards very experienced users and is design to allow for ease in complex algorithm modifications.
 * [RLlib](https://docs.ray.io/en/latest/rllib/index.html) is a learning library that allows for distributed training and inference and supports an extraordinarily large number of features throughout the reinforcement learning space.
-* [PettingZoo](https://github.com/Farama-Foundation/PettingZoo) is like Gym, but for environments with multiple agents.
+* [PettingZoo](https://github.com/Farama-Foundation/PettingZoo) is like Gymnasium, but for environments and an API multiple agents.
 
 ## Environment Versioning
 
-Gym keeps strict versioning for reproducibility reasons. All environments end in a suffix like "\_v0".  When changes are made to environments that might impact learning results, the number is increased by one to prevent potential confusion.
+Gymnasium keeps strict versioning for reproducibility reasons. All environments end in a suffix like "\_v0".  When changes are made to environments that might impact learning results, the number is increased by one to prevent potential confusion. These inherent from Gym.
 
-## MuJoCo Environments
 
-The latest "\_v4" and future versions of the MuJoCo environments will no longer depend on `mujoco-py`. Instead `mujoco` will be the required dependency for future gymnasiumMuJoCo environment versions. Old gymnasiumMuJoCo environment versions that depend on `mujoco-py` will still be kept but unmaintained.
-To install the dependencies for the latest gymnasium MuJoCo environments use `pip install gym[mujoco]`. Dependencies for old MuJoCo environments can still be installed by `pip install gym[mujoco_py]`. 
+## Development Roadmap
 
-## Citation
+We have a roadmap for future development work for Gymnasium available here:: https://github.com/Farama-Foundation/Gymnasium/issues/12
 
-A whitepaper from when Gym just came out is available https://arxiv.org/pdf/1606.01540, and can be cited with the following bibtex entry:
-
-```
-@misc{1606.01540,
-  Author = {Greg Brockman and Vicki Cheung and Ludwig Pettersson and Jonas Schneider and John Schulman and Jie Tang and Wojciech Zaremba},
-  Title = {OpenAI Gym},
-  Year = {2016},
-  Eprint = {arXiv:1606.01540},
-}
-```
 
 ## Release Notes