Edouard Leurent

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Ah I see, this is related to you learning algorithm then, this repository only specifies the environment. However, you should be able to reach pretty good performance for the highway-fast...

Hi @LianhaoYin, Here are a few ideas to make it faster: https://github.com/eleurent/highway-env/issues/223 See also: https://github.com/eleurent/highway-env/issues/36, https://github.com/eleurent/highway-env/issues/121

Hi @LianhaoYin The center position of the rendered image is controlled here https://github.com/eleurent/highway-env/blob/3f569cfa766b454d545fcf048be3f7fb46f8a11a/highway_env/envs/common/graphics.py#L149 Right now, it uses the position of the observer vehicle (I just patched it because it used...

Well, this project only describes the simulation environment, and not the agent / learning process. It has been used in the context of multi-objective optimization, see e.g. https://budgeted-rl.github.io/ However, maintaining...

Hi @Joe12138, I agree that this would be an awesome feature to have, but it is missing at the moment. This would require - writing or using an existing .osm...

I don't really have a ready-made answer to that question, but there are several things you can try: 1. Use more appropriate network architectures, such as Transformers or CNN 2....

Hi, It is not possible at the moment, but it could be done by implementing a new MultipleObservation to automatically aggregate several observation types into a tuple.

Hi @limeng-1234 > The training uses relative information and is normalized This can be configured by two KinematicsObservation options: ``` absolute: False normalize: True ``` > How to get the...

I don't know, it should: https://github.com/openai/gym/blob/master/gym/spaces/space.py#L4 Do you have the latest version of gym installed? Try: `pip install gym --upgrade` and ``` > from gym import spaces > print(spaces.Space()) ```

Hi! That is a great idea, It requires a bit of work in running a well-chosen RL library with a stable version, so that results can be reproduced and the...