EricChen0104/ppo-icm-maze-exploration
A curiosity-driven PPO + ICM reinforcement learning agent for autonomous maze exploration and victim rescue — built to evolve into a full SLAM-based search and rescue system.
This project helps roboticists and AI researchers develop autonomous agents capable of navigating unknown mazes to find and rescue hidden "victims." It takes maze layouts and an agent's visual observations as input, producing trained navigation strategies that prioritize exploration and victim discovery. This is useful for researchers building search-and-rescue robots or exploring advanced AI navigation.
No commits in the last 6 months.
Use this if you are developing or researching AI agents for autonomous exploration and victim location in complex, unknown environments.
Not ideal if you need a production-ready search and rescue system, as this is an early-stage research prototype.
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8
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Language
Python
License
MIT
Category
Last pushed
Jul 23, 2025
Commits (30d)
0
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