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@@ -5,10 +5,9 @@
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There are other gridworld Gym environments out there, but this one is
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designed to be particularly simple, lightweight and fast. The code has very few
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dependencies, making it less likely to break or fail to install. It loads no
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-external sprites/textures, and it can run at up to 6000 FPS on a quad-core i7
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-laptop, which means you can run your experiments faster. Batteries are
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-included: a known-working RL implementation is supplied in this repository
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-to help you get started.
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+external sprites/textures, and it can run at up to 5000 FPS on a Core i7
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+laptop, which means you can run your experiments faster. A known-working RL
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+implementation can be found [in this repository](https://github.com/lcswillems/pytorch-a2c-ppo).
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Requirements:
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- Python 3
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@@ -155,7 +154,7 @@ useful to experiment with curiosity or curriculum learning.
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Registered configurations:
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- `MiniGrid-MultiRoom-N2-S4-v0` (two small rooms)
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-- `MiniGrid-MultiRoom-N6-v0` (six room)
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+- `MiniGrid-MultiRoom-N6-v0` (six rooms)
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<p align="center">
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<img src="/figures/multi-room.gif" width=416 height=424>
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Maxime Chevalier-Boisvert