Usage

Obtaining and Installing PRP

You can obtain PRP by cloning the repository:

git clone https://github.com/QuMuLab/planner-for-relevant-policies.git prp

To compile, change your directory to prp/src and run build_all. Further instructions on what you'll need to install can be found on the Fast Downward site. Note that for recent versions of 64-bit Linux (e.g., Ubuntu 14.10), you may need to additionally install the packages libx32gcc-4.8-dev and libc6-dev-i386.

Running PRP

More info will be coming soon on the command line options, but for now the complete list on what is available is listed below.

Planner: PRP -- (P)lanner for (R)elevant (P)olicies
Version: 0.3

Build:
cd src/
./build_all

Citation:
./src/prp --citation

Usage:
./src/prp <domain> <problem> OPTIONS

Options:
--jic-limit TIME_LIMIT
    Only perform JIC for the given time.

--forgetpolicy 1/0
    Throw out the policy after every simulation.

--replan-on-failure 1/0 (default=1)
    Replan if the state isn't recognized.

--fullstate 1/0
    Use full states in the regression.

--planlocal 1/0
    Plan locally to recover before planning for the goal.

--partial-planlocal 1/0
    Use the partial state that matches the expect state when planning locally.

--limit-planlocal 1/0
    Limit the planlocal searching to a fixed number of search steps.

--plan-with-policy 1/0
    Stop searching when the policy matches the current state.

--depth NUM_ACTIONS (default=1000)
    Stop simulations and consider it a failure after NUM_ACTIONS actions.

--trials NUM_TRIALS (default=1)
    Number of trials to run for the simulator.

--detect-deadends 1/0
    Use primitive deadend detection to ensure a strongly cyclic solution.

--generalize-deadends 1/0
    Generalize the deadends found based on relaxed reachability.

--online-deadends 1/0
    Generate and store deadend states that are found online.

--optimized-scd 1/0
    Perform optimized strong cyclic detection when checking the partial policy.

--final-fsap-free-round 1/0 (default=0)
    Do one final JIC round with the best policy found (closing every leaf possible).

--optimize-final-policy 1/0 (default=0)
    Do a final simulation and throw out any pair (or FSAP) not used.

--dump-policy 1/2
    Dump the policy to the file policy.out. 1 creates a switch graph, while 2 creates a human readable form.

--debug-output 1/0
    Output plans and other information during the planning process.