constraint-satisfaction-problem

JMLR: OmniSafe is an infrastructural framework for accelerating SafeRL research.

NeurIPS 2023: Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark

Constraint Solving Problem resolver for Python

AI project for 3D Path Planning. Other details and running instructions can be found on the Readme.md file

ChinaTravel: A Real-World Benchmark for Language Agents in Chinese Travel Planning

Implementation of the overlapping model of the Wave Function Collapse algorithm

ICLR 2024: SafeDreamer: Safe Reinforcement Learning with World Models

A Python Library for modeling combinatorial constrained problems

NuCS is a Python constraint programming library for solving Constraint Satisfaction and Optimization Problems over finite domains

Find an optimal assignment for a group of nurses, under constraints of scheduling and personnel.

Determine a schedule for running a set of jobs.

Determine which items to include in a knapsack to maximize total value, subject to a capacity.

Entropy-controlled contexts in Python

Group satellites into constellations such that their average observation coverage is maximized

Factor numbers using a quantum computer

Solve a Sudoku puzzle with a quantum computer

IIIT Allahabad B. Tech. (IT) 5th Semester Artificial Intelligence Lab Assignments + HackerRank Artificial Intelligence Track

Implementation of classical problems in Computer Science in the Answer Set Solving dialect of Clingo.

Using a quantum computer to cluster data points

Find possible failing components on a circuit.