- Damien Pellier ([email protected])
- http://lig-membres.imag.fr/pellier/
PDDL4J is an open source library under LGPL license.
The purpose of PDDL4J is to facilitate the development of JAVA tools for Automated Planning based on PDDL language (Planning Domain Description Language). Automated planning and scheduling, in the relevant literature often denoted as simply planning, is a branch of artificial intelligence that concerns the realization of strategies or action sequences, typically for execution by intelligent agents, autonomous robots and unmanned vehicles.
PDDL was originally developed by Drew McDermott and the 1998 planning competition committee. It was inspired by the need to encourage the empirical comparison of planning systems and the exchange of planning benchmarks within the community. Its development improved the communication of research results and triggered an explosion in performance, expressivity and robustness of planning systems.
PDDL has become a de facto standard language for describing planning domains, not only for the competition but more widely, as it offers an opportunity to carry out empirical evaluation of planning systems on a growing collection of generally adopted standard benchmark domains. The emergence of a language standard will have an impact on the entire field, influencing what is seen as central and what peripheral in the development of planning systems.
The library contains:
- A PDDL 3.1 parser and all the classes need to manipulate its concepts. The parser can be configured to accept only specified requirements of PDDL language.
- A set of useful pre-processing mechanisms in order to instantiate and simply operators into ground actions based on inertia properties.
- A set of already implemented classical heuristics, e.g., h_ff, h_max, etc.
- Several examples of planners using PDDL4J.
The pddl4j library is package with "gradle". If ant is not installed on your computer, go to https://gradle.org/ and install it.
Java JDK 8 must be installed on the computer that will run PDDL4J:
On Windows
Go to Oracle website and download the JDk corresponding to your computer architecture (x64 or x86): Java.
After the installation, you have to add java to your Windows PATH.
On Linux (Debian / Ubuntu)
sudo apt-get install openjdk-8-jdk
Type at the root of the PDDL4J distribution:
./gradlew build
if you want to build the project with findbug:
./gradlew build -Pfindbug
The jar "pddl4j-VERSION.jar" is available in the build/libs directory.
The pddl4j library can be used as a jar file called "pddl4j-VERSION.jar" in the "libs" directory of the release. Therefore, include the jar in our classpath and enjoy it.
All the documentations are contained in the doc directory.
To generate the javadoc just type:
./gradlew javadoc
Planners are available in the "planners" package of the distribution. For instance, this archive contains a simple planner based on A* search strategy called HSP. To launch this planner use the following command line:
java -javaagent:build/libs/pddl4j-3.8.1.jar -server -Xms2048m -Xmx2048m fr.uga.pddl4j.planners.statespace.StateSpacePlannerFactory -o pddl/blocksworld/domain.pddl -f pddl/blocksworld/p15.pddl
java -jar build/libs/pddl4j-3.8.1.jar -o pddl/blocksworld/domain.pddl -f pddl/blocksworld/p15.pddl
Or use the gradle run command:
gradle run -PArgs=-o,pddl/blocksworld/domain.pddl,-f,pddl/blocksworld/p15.pddl
Note: A set of planning problems is available in the web site of the international planning competition: http://ipc.icaps-conference.org.
PDDL4J: a planning domain description library for java https://doi.org/10.1080/0952813X.2017.1409278
D. Pellier & H. Fiorino (2017) PDDL4J: a planning domain description library for java, Journal of Experimental & Theoretical Artificial Intelligence, 30:1, 143-176, DOI: 10.1080/0952813X.2017.1409278
PDDL4J v3.8.1
Parser
- Add HTN features in Lexer
Search strategy
- Fix AStar
PDDL4J v3.8
Global
- Add ACTION-COST support in PDDL4J (parser, encoder, solver)
Planner
- Add FF Anytime planner
- Add Hill Climbing Anytime planner
- Add Generic Anytime planner
Heuristic
- Add MIN_COST heuristic
Search Strategy
- Add Anytime Search Strategies
Others
- Bug fix
- Add JUnit tests
PDDL4J v3.7.3
Global
- Add SolutionEvent and SolutionListener (for StateSpaceStrategy)
Parser
- Fix End Of File bug in Lexer
Planner
- Fix bugs for GenericPlanner
PDDL4J v3.7.2
State space strategy
- Add Generic planner structure
Parser
- Fix parser bug
Global
- Add BNF
PDDL4J v3.7.1
State space strategy
- Add Breadth First Search and Depth First Search
- Add associated JUnit tests
Global
- Add CLI script to launch PDDL4J
- Patch PDDL4J for Java 10
PDDL4J v3.7.0
Update project tools
- log4j 2.11
- Checkstyle 8.9
- SonarQube 2.6.1
- Javacc 2.4
- Gradle wrapper 4.8
- Add Jenkinsfile script for CI
Planner
- New package: Statespace with HSP and FF planners
- Add StateSpacePlanner and StateSpacePlannerFactory interfaces
- Use StateSpacePlannerFactory to create state space planners
State space strategy
- Search strategies are now independant from planners: Add StateSpaceStrategy interface
- A*, Greedy Best First Search, Enforced Hill Climbing and Hill Climbing are available
- Add JUnit tests
Global
- Add tests
- Fix bugs and javadoc
- Memory Agent: PDDL4J could work even if JVM command line is not given
- Big work on JUnit tests and VAL
PDDL4J v3.6.0
Planner
- Adding Fast Forward planner
- Adding Enforced Hill Climbing planner
- Adding depth attibute in Node class
- Converting cost and heuristic in double
- Fix bugs
Parser
- Adding parseFromString method (it's is now possible to parse a string containing a pddl domain and/or problem)
- Refactor Parser class and fix bugs
JUnit tests
- Adding tests for all the planners, CodedProblem, Encoder, Parser, Plan, etc.
- Refactor and fix bugs
Global
- Change AdaptatorJavaJson to JsonAdapter
- Fix logger and standard outputs
- Throws uncatched exceptions
- Fix bugs