harisankar95/voxelgym2D
Gymnasium based RL environment for 2D grid path planning
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.
Stars
22
Forks
1
Language
Python
License
MIT
Category
Last pushed
Jun 24, 2024
Commits (30d)
0
Dependencies
6
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