helyszínrl
Helyszínrl is a term used to describe a location-aware reinforcement learning framework and accompanying dataset ecosystem. It provides standardized environments that integrate geospatial data with reinforcement learning tasks, enabling agents to learn policies that take geographic context into account. The project is designed to be interoperable with common RL libraries and geospatial data formats.
The name combines helyszín, Hungarian for "location" or "scene," with RL, signaling its focus on spatially grounded
Core components include a uniform API for defining states and actions in geographic spaces, environment wrappers
Developed by researchers and practitioners in a collaborative community, helyszínrl emerged in the early stages of
Common applications include urban mobility planning, autonomous navigation, logistics optimization, and disaster response planning. See also