Planner Interface for PDDLGym

This library is under development by Tom Silver and Rohan Chitnis. Correspondence: [email protected] and [email protected].

This is a lightweight Python interface for using off-the-shelf classical planners like FastForward and FastDownward with PDDLGym.

System Requirements

This repository has been mostly tested on MacOS Mojave and Catalina with Python 3.6. We would like to make it accessible on more systems; please let us know if you try another and run into any issues.

Installation

1. Install PDDLGym.
2. If on MacOS, brew install coreutils.
3. Clone this repository.
4. pip install -e .

Example Usage

Important Note: When you invoke a planner for the first time, the respective external package will be installed automatically. This will take up to a few minutes. This step will be skipped the next time you run the same planner.

import pddlgym
from pddlgym_planners.ff import FF  # FastForward
from pddlgym_planners.fd import FD  # FastDownward

# Planning with FastForward
ff_planner = FF()
env = pddlgym.make("PDDLEnvBlocks-v0")
state, _ = env.reset()
print("Plan:", ff_planner(env.domain, state))
print("Statistics:", ff_planner.get_statistics())

# Planning with FastDownward (--alias seq-opt-lmcut)
fd_planner = FD()
env = pddlgym.make("PDDLEnvBlocks-v0")
state, _ = env.reset()
print("Plan:", fd_planner(env.domain, state))
print("Statistics:", fd_planner.get_statistics())

# Planning with FastDownward (--alias lama-first)
lama_first_planner = FD(alias_flag="--alias lama-first")
env = pddlgym.make("PDDLEnvBlocks-v0")
state, _ = env.reset()
print("Plan:", lama_first_planner(env.domain, state))
print("Statistics:", lama_first_planner.get_statistics())