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"# Simulator\n",
"If we have a transition system, it might be nice to run a simulation. In this case, we have an MDP that models a hungry lion. Depending on the state it is in, it needs to decide whether it wants to 'rawr' or 'hunt' in order to prevent reaching the state 'dead'."
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"Test request failed. See 'Implementation details' in docs. Disable warning by use_server=False.\n"
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"source": [
"from stormvogel import *\n",
"lion = examples.create_lion_mdp()\n",
"vis = show(lion, layout=Layout(\"layouts/lion.json\"))"
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"cell_type": "markdown",
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"Now, let's run a simulation of the lion! If we do not provide a scheduling function, then the simulator just does a random walk, taking a random choice each time."
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"path = simulate_path(lion, steps=5, seed=1234)"
]
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"source": [
"Let's visualize this path in the visualization. Take a look at the model above after executing the next cell."
]
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"source": [
"vis.highlight_path(path, \"red\", 1, clear=True)"
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{
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"We could also provide a scheduling function to choose the actions ourselves. This is somewhat similar to the `pgc` API."
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"def scheduler(s: State) -> Action:\n",
" return Action.create(\"rawr\")\n",
"\n",
"path2 = stormvogel.simulator.simulate_path(lion, steps=5, seed=1234, scheduler=scheduler)"
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},
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"cell_type": "code",
"execution_count": 5,
"id": "563c8264-5748-4a55-8dd0-7b677ea9fa64",
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"source": [
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"We can also use the scheduler to create a partial model. This model contains all the states that have been discovered by the the simulation."
]
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