Path planning algorithm with efficient replanning phase
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Updated
Jun 29, 2024 - Python
Path planning algorithm with efficient replanning phase
Reproducible lab comparing planning, reinforcement learning, and hybrid agents in a dynamic single-robot warehouse simulator.
A research-first AI agent exploring agent architecture evolution using a shared-state Planner → Executor → Reflector → Replanner workflow.
Rust pathfinding for grids, any-angle search, polygonal scenes, navmeshes, replanning, and multi-agent routing.
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