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Merged
guilyx merged 1 commit into from
Jan 5, 2021
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Bump to 0.4.0 #84

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5 changes: 5 additions & 0 deletions README.md
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Expand Up @@ -71,6 +71,9 @@ You should have a `pddl-examples` folder containing PDDL instances.
from jupyddl import AutomatedPlanner # takes some time because it has to instantiate the Julia interface
apl = AutomatedPlanner("pddl-examples/dinner/domain.pddl", "pddl-examples/dinner/problem.pddl)

apl.available_heuristics
["basic/zero", "basic/goal_count", "delete_relaxation/h_max", "delete_relaxation/h_add"]

apl.initial_state
<PyCall.jlwrap PDDL.State(Set(Julog.Term[row(r1), column(c3), row(r3), row(r2), column(c2), column(c1)]), Set(Julog.Term[white(r2, c1), white(r1, c2), white(r3, c2), white(r2, c3)]), Dict{Symbol,Any}())>

Expand Down Expand Up @@ -115,6 +118,8 @@ da.comparative_data_plot(astar=False) # Exclude astar from the comparative plot
da.comparative_data_plot(heuristic_key="basic/zero") # use zero heuristic for h based planners

da.comparative_data_plot(collect_new_data=False) # uses data.json to plot the data

da.comparative_astar_heuristic_plot() # compare results of astar with all available heuristics
```


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2 changes: 1 addition & 1 deletion setup.py
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Expand Up @@ -9,7 +9,7 @@

setuptools.setup(
name="jupyddl", # Replace with your own username
version="0.3.0",
version="0.4.0",
author="Erwin Lejeune",
author_email="erwinlejeune.pro@gmail.com",
description="Jupyddl is a PDDL planner built on top of a Julia parser",
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