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FlyingWorkshop committed Jul 16, 2024
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4 changes: 2 additions & 2 deletions docs/Manifest.toml
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# This file is machine-generated - editing it directly is not advised

julia_version = "1.10.2"
julia_version = "1.10.4"
manifest_format = "2.0"
project_hash = "dfec3d640e541aa2c9756dd17ecb0612f3a10558"

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[[deps.p7zip_jll]]
deps = ["Artifacts", "Libdl"]
uuid = "3f19e933-33d8-53b3-aaab-bd5110c3b7a0"
version = "17.4.0+2"
version = "17.4.0+2"
2 changes: 1 addition & 1 deletion docs/Project.toml
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[deps]
Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4"
LiveServer = "16fef848-5104-11e9-1b77-fb7a48bbb589"
LiveServer = "16fef848-5104-11e9-1b77-fb7a48bbb589"
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4 changes: 2 additions & 2 deletions docs/src/circular.md
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This environment is a generalization of the Circular Maze POMDP described in [Finding Approximate POMDP solutions Through Belief Compression](https://arxiv.org/abs/1107.0053).[^1] The world consists of `n_corridor` 1D circular corridors that each have `corridor_length` states. The robot spawns in a random corridor. It must determine which corridor its in, navigate to the proper goal state, and finally declare that it has finished.

![](../assets/maze.png)
![](./assets/maze.png)

<center>*Figure from [Finding Approximate POMDP solutions Through Belief Compression](https://arxiv.org/abs/1107.0053).</center>

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The initial state is sampled from a repeated, discrete von Mises distribution each with a concentration at the center of the hallway.

![](../assets/initial_belief.png)
![](./assets/initial_belief.png)

## Episode End

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