Code and experiment data for the HSDIP 2020 paper "Online Saturated Cost Partitioning for Classical Planning"

Code

The file seipp-icaps2020wshsdip-code.zip contains an extended version of the Fast Downward planning system (http://fast-downward.org). The code for online saturated cost partitioning can be found in "src/search/cost_saturation/saturated_cost_partitioning_online_heuristic.{h,cc}". Please see http://www.fast-downward.org for detailed instructions on how to compile the planner. Here is the short version for building the planner and running online saturated cost partitioning:

./build.py
./fast-downward.py PDDL_TASK --heuristic "hscp=scp_online([projections(hillclimbing(max_generated_patterns=200, random_seed=0)), projections(systematic(2)), cartesian([landmarks(random_seed=0), goals(random_seed=0)])], interval=10K, orders=greedy_orders(random_seed=0), saturator=perimstar, max_time=1000, use_offline_samples=False, use_evaluated_state_as_sample=True, random_seed=0)" --search "astar(hscp, lazy_evaluator=hscp)"

The latest version of the code is available at https://github.com/jendrikseipp/scorpion.

Benchmarks

The file ipc-benchmarks-optimal-strips-1998-2018.zip contains the STRIPS PDDL benchmarks from sequential optimization tracks of IPC 1998-2018.

Experiment data

The remaining zipfiles contain the raw experiment data, parsed values and basic reports for the experiments in the paper. For each experiment there are two files. The first contains the raw data of all experiment runs. The code directories and benchmark files have been removed to avoid duplication and to save space. The second file (*-eval.zip) contains a "properties" file with all parsed values and an HTML report.