K* search implementation of a Top-K planner (DockerHub Image)
Cerberus planner, post-IPC 2018 version (DockerHub Image)
Forbid-Iterative (FI) Planner suite for top-k, top-quality, and diverse computational tasks (DockerHub Image)
Diversity score computation for a set of plans (DockerHub Image)
I have participated in the deterministic part of the IPC-2018 - International Planning Competition 2018
with multiple planners. One of them, Delfi has won the sequential optimal track. The source code for Delfi can be found here.
Other planners from IPC2018 include
- Metis, IPC 2018 version
- MERWIN, IPC 2018 version (Extends Mercury with Novelty heuristic )
- Cerberus, IPC 2018 version (Extends Mercury with Novelty heuristic  and native support for conditional effects )
- Mercury 2014, IPC 2018 version
 M. Katz, N. Lipovetzky, D. Moshkovich, A. Tuisov, Adapting Novelty to Classical Planning as Heuristic Search, in Proceedings of The International Conference on Automated Planning and Scheduling (ICAPS), Pittsburgh, PA, USA, 2017.
 M. Katz, Red-Black Heuristics for Planning Tasks with Conditional Effects, in Proceedings of The 33rd AAAI Conference on Artificial Intelligence (AAAI), Honolulu, HI, USA, 2019.
I have participated in the deterministic part of the IPC-2014 - International Planning Competition 2014
with two planners, Mercury for the sequential satisficing track and Metis for the sequential optimal track.
Mercury (with Joerg Hoffmann) has won two awards:
- Runner-Up in the sequential satisficing track, and
- Innovative Planner Award.
The source code for the planners can be found here (or by request):
More details on Mercury:
Mercury is a classical planner - a solver for classical (deterministic) planning tasks specified in PDDL 3.1.
Running the planner:
- To build the planner run ./build
- To run the planner use ./plan <DOMAIN> <PROBLEM> <PLAN_FILE>
PDDL examples can be found at https://bitbucket.org/aibasel/downward-benchmarks
Mercury has won two awards at the 2014 International Planning Competition:
- Runner-up of the Deterministic Sequential Track
- Innovative Planner Award
Papers related to Mercury:
- Mercury Planner: Pushing the Limits of Partial Delete Relaxation
M Katz, J HoffmannEighth International Planning Competition (IPC 2014)
- Red-black planning: a new systematic approach to partial delete relaxation
C Domshlak, J Hoffmann, M KatzArtificial Intelligence 221 (April 2015), 73–114
- Who said we need to relax all variables?
M Katz, J Hoffmann, C Domshlak23rd International Conference on Automated Planning and Scheduling (ICAPS 2013)
- Red-Black Relaxed Plan Heuristics
M Katz, J Hoffmann, C Domshlak27th AAAI Conference on Artificial Intelligence (AAAI 2013)
- Red-Black Relaxed Plan Heuristics Reloaded
M Katz, J HoffmannSixth Annual Symposium on Combinatorial Search (SoCS 2013)
- Pushing the Limits of Partial Delete Relaxation: Red-Black DAG Heuristics
M Katz, J HoffmannHeuristics and Search for Domain Independent Planning (HSDIP 2014)