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No need. I've written papers on gridworld RL problems that are, I'm convinced, at least harder than some of the Atari games.
Can you point me to them? This actually sounds like a cool project. A collection of grid worlds for different aspects of RL intelligence. I think the key to getting them adopted is to make them…. cute and fun :D
There's this one https://arxiv.org/abs/1806.01946 : 5x5 grid viewed as pixels, 3 objects, 3 possible shapes, 3 possible colours. Simple RL task, right? Wrong. It's instruction conditional, and although there are only a few thousand instructions (a new one every episode), A3C struggles.
More recently there's https://arxiv.org/abs/1810.08272 by @DBahdanau and some MILA folk. Visually/conceptually simple language-conditional env, difficult tasks.
It goes without saying there are probably many more papers which tackle similar problems, but either are consigned to obscurity or rejected by superficial reviewers because they don't "look" hard enough.
Our recent paper used BoxWorld, which can be an arbitrarily complex planning problem:https://openreview.net/forum?id=HkxaFoC9KQ …
My only slight issue with gridworlds is that often they're used in papers the "wrong way round". In that, you first think up a model and then contrive a gridworld that you can solve but say, an LSTM cant. Papers could do with motivating *why* a specific gridworld is important
Maybe a subcollection to be created within openaigym?
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