Planning Algorithms Python Packages

timefold

The open source Solver AI for Java and Kotlin to optimize scheduling and routing. Solve the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems.

greyjack

GreyJack Solver is a "jack of all trades" constraint metaheuristic solver for Python, built on the robust foundations of Rust and Polars

scikit-decide

The AI framework for Reinforcement Learning, Automated Planning and Scheduling

planaco

Probabilistic project estimation with Monte Carlo simulation

simple-rl

A simple framework for experimenting with Reinforcement Learning in Python.

pyrddlgym-jax

JAX compilation of RDDL description files, and a differentiable planner in JAX.

rofunc

🤖 The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation

pyrddlgym-rl

pyRDDLGym-rl: Wrappers for reinforcement learning algorithms (i.e. stable baselines 3) to work with pyRDDLGym.

pyrddlgym-gurobi

Gurobi compilation of RDDL description files to mixed-integer programs, and optimization tools.

pyrddlgym-symbolic

pyRDDLGym-symbolic: Symbolic toolset for pyRDDLGym via XADD.

pyro-udes

object-based toolbox for robot dynamic simulation, analysis, control and planning

ordered

Entropy-controlled contexts in Python

timefold-solver

Timefold Solver is an AI constraint solver for Python to optimize the Vehicle Routing Problem, Employee Rostering, Maintenance Scheduling, Task Assignment, School Timetabling, Cloud Optimization, Conference Scheduling, Job Shop Scheduling, Bin Packing and many more planning problems.