Rideshare¶
Description¶
The rideshare domain simulates a grid-based environment where apssengers can appear and agents are tasked with delivering passengers from their current location to their desination. The environment is dynamic and partially observable, where agents cannot observe the contents of another agents car.
Environment Dynamics
Passenger Entry / Exit: Passengers enter the environment from outside the simulation at any space. They must be accepted by an agent and picked up at their current location, then dropped off at their destination. Agents recieve the fare defined by an individual task, and receive penalties if any passenger is waiting for a state transition for too long.
Environment Openness
task openness: Tasks can be introduced or removed from the environment, allowing for flexbile goal setting and adaptable planning / RL models.
rideshare: New passengers can enter the environment, and old ones can leave. Agents have to reason about competition for tasks, as well as how to efficiently pool, overlap, and complete tasks.