Tmrl

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This update improves TrackMania support (thanks LaurensNeinders !)

**Perform a clean install by deleting the `TmrlData` folder AND `Plugin_GrabData_0_1.as` from `OpenPlanetNext\Scripts`**

Release 0.4.2 ships with an optimized version of the OpenPlanet script for the default TrackMania environments. In particular, it should alleviate a common issue where the environment randomly times-out for a roughly constant amount of time even on high-end PCs.

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This release uses a new feature of `tlspyo 0.2.5` to stop randomly deserializing objects in the background during episode collection.

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:warning: **This release is backward-incompatible!**

`tmrl` 0.4.0 introduces network security and many changes to the API.

In particular:
- network security is now handled by [tlspyo](https://github.com/MISTLab/tls-python-object)
- the API is now compatible with any framework (i.e., we do not force the use of PyTorch anymore)
- the framework now supports color images
- the default `config.json` file is tuned for fast training of CNN (grayscale) policies

`tmrl` 0.4.0 also "officially" launches the first Beta of the [TrackMania Roborace League](https://github.com/trackmania-rl/tmrl/blob/master/readme/competition.md) competition.
The [competition tutorial script](https://github.com/trackmania-rl/tmrl/blob/master/tmrl/tuto/competition/custom_actor_module.py) is particularly useful for ML developers who desire to code advanced training pipelines in TrackMania.

- Corrected warning from 0.3.0
- Removed unsupported old code

Major release 0.3.0.

*This release is backward incompatible!*

Notable changes:
- The API underwent major changes following the new OpenAI API. See https://github.com/openai/gym/releases/tag/0.26.0
- This release introduces long-awaiten support for full screenshot environments in TrackMania 2020 🚀

Please perform a clean install by deleting the `TmrlData` folder in your home directory.

This release introduces new flavors of the TrackMania Gym environments: one featuring raw screenshots, and one featuring a track-progress observation along the LIDAR (you can use this by ending the "ENV" entry with "LIDARPROGRESS" in `config.json`).

This release also fixes the latest breaking changes that the new Gym maintainers team keeps introducing...

**This version is backward incompatible!**

Please perform a clean install by deleting your `TmrlData` folder before pip-installing.