PDDL Planning Solvers ML Frameworks
Automated planners and tools using PDDL (Planning Domain Definition Language) and related formalisms like STRIPS for symbolic AI planning. Does NOT include general search algorithms, constraint solvers, or scheduling systems without explicit planning domain support.
There are 30 pddl planning solvers frameworks tracked. 1 score above 50 (established tier). The highest-rated is caelan/pddlstream at 50/100 with 468 stars.
Get all 30 projects as JSON
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| # | Framework | Score | Tier |
|---|---|---|---|
| 1 |
caelan/pddlstream
PDDLStream: Integrating Symbolic Planners and Blackbox Samplers |
|
Established |
| 2 |
DillonZChen/wlplan
Relational Features for Planning |
|
Emerging |
| 3 |
realkushagrakhare/3D_Path_Planning
AI project for 3D Path Planning. Other details and running instructions can... |
|
Emerging |
| 4 |
enlite-ai/maze
Maze Applied Reinforcement Learning Framework |
|
Emerging |
| 5 |
APLA-Toolbox/PythonPDDL
🧭🔍 A PDDL Planner in Python partially wrapping PDDL.jl using JuliaPy |
|
Emerging |
| 6 |
emadehsan/maze
Generate Mazes of different types and Datasets for Deep Learning (GANs, RL) |
|
Emerging |
| 7 |
hyperc-ai/ordered
Entropy-controlled contexts in Python |
|
Emerging |
| 8 |
JuliaPlanners/PDDL.jl
Julia parser, interpreter and compiler interface for the Planning Domain... |
|
Emerging |
| 9 |
caelan/LTAMP
Learning for Task and Motion Planning (LTAMP) |
|
Emerging |
| 10 |
aig-upf/2017-planning-with-simulators
Online repository for the IJCAI 2017 paper "Purely Declarative Action... |
|
Emerging |
| 11 |
oelin/darpy
A user-friendly implementation of the DARP algorithm for multi-agent... |
|
Emerging |
| 12 |
kbvatral/pyplanning
Implementation of AI Planning Algorithms in Python |
|
Emerging |
| 13 |
guillaume-chevalier/AI-Planning-Solver-Shakeys-World-PDDL
Solving a planning problem (Shakey's World) with the FF and IPP planners,... |
|
Emerging |
| 14 |
moment-of-peace/AI-RRT-Motion-Planning
Using rapidly exploring random tree to solve high-dimension motion planning problems |
|
Emerging |
| 15 |
debbynirwan/tfd_cpp
Total-order Forward Decomposition Algorithm: HTN Planning |
|
Experimental |
| 16 |
elinorwahl/ai-classical-planning
A simple Python demonstration of graph search planning strategies |
|
Experimental |
| 17 |
ronaldeddings/AIND-Planning
Solutions to problems in classical PDDL (Planning Domain Definition... |
|
Experimental |
| 18 |
acforvs/dhc-robust-mapf
Learnable MAPF. “Distributed Heuristic Multi-Agent Path Finding with... |
|
Experimental |
| 19 |
micttyoid/quantized-pathfinding
Quantization before pathfinding |
|
Experimental |
| 20 |
robodhhb/Interactive-D-Star-Lite
Interactive path planning with D*Lite on Raspberry Pi for Lego EV3 robots |
|
Experimental |
| 21 |
cair/deep-warehouse
A Simulator for complex logistic environments |
|
Experimental |
| 22 |
wopai/Pathfinder
The simple test game for Ai |
|
Experimental |
| 23 |
mtabernerop/relevant-forbiditerative
Iterative approach to relevant top-k planning |
|
Experimental |
| 24 |
oelin/cbs-5
A large dataset containing optimal actions taken by conflict-based search... |
|
Experimental |
| 25 |
SidSong01/Motion-Planning
Astar/PRM/ttc-force/RRT/... |
|
Experimental |
| 26 |
bettker/dissertation
Understanding Sample Generation Strategies for Learning Heuristic Functions... |
|
Experimental |
| 27 |
LucaMozzo/JPlanner
A planner written in Java that interacts 100% with Java code |
|
Experimental |
| 28 |
soheylfalahzade/Advanced_Graph_Algorithms
Implementation of complex geometric and graph algorithms focusing on Greedy... |
|
Experimental |
| 29 |
jphmrst/Planrec
Plan recognition algorithm implementations |
|
Experimental |
| 30 |
OriYarden/Path-Finding-and-Object-Tracking-using-Machine-Learning-AI-from-Scratch-numpy-only-in-Python
Optimizing Path Finding using Machine Learning AI from Scratch (only numpy... |
|
Experimental |