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@@ -16,7 +16,7 @@ Our goal is to provide a common programming vocabulary for:
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2. Writing solver software.
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3. Running simulations efficiently.
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There are [nested interfaces for expressing and interacting with (PO)MDPs](http://juliapomdp.github.io/POMDPs.jl/latest/def_pomdp): When the *[explicit](http://juliapomdp.github.io/POMDPs.jl/latest/explicit)* interface is used, the transition and observation probabilities are explicitly defined using api [functions](http://juliapomdp.github.io/POMDPs.jl/latest/explicit/#functional-form-explicit-pomdp); when the *[generative](http://juliapomdp.github.io/POMDPs.jl/latest/generative)* interface is used, only a single step simulator (e.g. (s', o, r) = G(s,a)) needs to be defined. Problems may also be defined with probability [tables](http://juliapomdp.github.io/POMDPs.jl/latest/explicit/#tabular-form-explicit-pomdp), or with the simplified [QuickPOMDPs interfaces](https://github.com/JuliaPOMDP/QuickPOMDPs.jl).
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There are [nested interfaces for expressing and interacting with (PO)MDPs](http://juliapomdp.github.io/POMDPs.jl/stable/def_pomdp): When the *[explicit](http://juliapomdp.github.io/POMDPs.jl/stable/explicit)* interface is used, the transition and observation probabilities are explicitly defined using api [functions](http://juliapomdp.github.io/POMDPs.jl/stable/explicit/#functional-form-explicit-pomdp); when the *[generative](http://juliapomdp.github.io/POMDPs.jl/stable/generative)* interface is used, only a single step simulator (e.g. (s', o, r) = G(s,a)) needs to be defined. Problems may also be defined with probability [tables](http://juliapomdp.github.io/POMDPs.jl/stable/explicit/#tabular-form-explicit-pomdp), or with the simplified [QuickPOMDPs interfaces](https://github.com/JuliaPOMDP/QuickPOMDPs.jl).
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**Python** can be used to define and solve MDPs and POMDPs via the QuickPOMDPs or tabular interfaces and [pyjulia](https://github.com/JuliaPy/pyjulia) (Example: [tiger.py](https://github.com/JuliaPOMDP/QuickPOMDPs.jl/blob/master/examples/tiger.py)).
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## Quick Start
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To run a simple simulation of the classic [Tiger POMDP](https://www.cs.rutgers.edu/~mlittman/papers/aij98-pomdp.pdf) using a policy created by the QMDP solver, you can use the following code (Note that this uses the simplified [QuickPOMDPs interface](https://github.com/JuliaPOMDP/QuickPOMDPs.jl); the [main interface](https://juliapomdp.github.io/POMDPs.jl/latest/def_pomdp/) has much more expressive power):
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To run a simple simulation of the classic [Tiger POMDP](https://www.cs.rutgers.edu/~mlittman/papers/aij98-pomdp.pdf) using a policy created by the QMDP solver, you can use the following code (Note that this uses the simplified [QuickPOMDPs interface](https://github.com/JuliaPOMDP/QuickPOMDPs.jl); the [main interface](https://juliapomdp.github.io/POMDPs.jl/stable/def_pomdp/) has much more expressive power):
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```julia
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using POMDPs, QuickPOMDPs, POMDPSimulators, QMDP
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## Documentation
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Detailed documentation can be found [here](http://juliapomdp.github.io/POMDPs.jl/latest/).
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Detailed documentation can be found [here](http://juliapomdp.github.io/POMDPs.jl/stable/).
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