harisankar95/voxelgym2D

Gymnasium based RL environment for 2D grid path planning

35
/ 100
Emerging

This tool helps researchers and engineers develop and test algorithms for finding the shortest path through a 2D grid-like environment, such as for robotics or autonomous navigation. You provide the grid map and the algorithm, and it simulates the agent's movement and pathfinding performance. It's designed for anyone working on creating intelligent agents that need to navigate efficiently in structured spaces.

No commits in the last 6 months. Available on PyPI.

Use this if you are a machine learning researcher or robotics engineer building and evaluating reinforcement learning agents for path planning on grid-based maps.

Not ideal if you need a path planning solution for continuous 3D spaces or for directly deploying agents in real-world environments without prior simulation.

robotics autonomous-navigation reinforcement-learning path-planning simulation
Stale 6m
Maintenance 0 / 25
Adoption 6 / 25
Maturity 25 / 25
Community 4 / 25

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Stars

22

Forks

1

Language

Python

License

MIT

Last pushed

Jun 24, 2024

Commits (30d)

0

Dependencies

6

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