Comments (3)
https://github.com/ArnaudFickinger/gym-multigrid
Here you go ;)
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MiniGrid distinguishes between the agent and the other objects in the environment, and in retrospect I think that this may have been a design mistake. I think that a better design choice would be to treat agents like other objects in the world, using the same class hierarchy, and maybe to keep a list of agents in the MiniGrid class. Then in the step method you may want to specify which agent you are stepping. In general, I feel like OpenAI Gym kind of assumes a single agent setup though.
Not sure we should make this refactoring to MiniGrid itself because I'm concerned about breaking existing code. It's unfortunate because there are a few things I would change if this wasn't an issue. The best solution may be for you to fork this repo and make the modifications you want. Maybe call it something like MultiGrid ;)
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@ArnaudFickinger Nice work, many people have been asking for this.
Just one nitpick: since you based your environment on MiniGrid, you should copy over the open source license: https://github.com/maximecb/gym-minigrid/blob/master/LICENSE
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Related Issues (20)
- [Question] Use of 'direction' in observation space? HOT 1
- [Bug Report] Toggling the box will make it disappear HOT 2
- [Bug Report] Error when creating BabyAI environment HOT 2
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- [Question] What do you mean by "done" action in the action space? HOT 3
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- [Question] Getting total number of unique states HOT 1
- [Question] How to create vectorized envs for minigrid HOT 3
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- [Question] Is `ActionBonus` wrapper correct ? HOT 1
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- [Question] Get demonstration for 'MiniGrid-MultiRoom-N4-S5-v0' HOT 1
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