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View Code? Open in Web Editor NEWA benchmark towards generalizable reinforcement learning for autonomous driving.
License: Other
A benchmark towards generalizable reinforcement learning for autonomous driving.
License: Other
The way we create the lane connectivity map is really messy right now.
Right now, randomized scenarios are mutually exclusive. This means that, e.g., an intersection can not be chained with a subsequent roundabout into one training scenario. Enabling this shouldn't be too hard, but will require some additional work.
The goal would be to have a more clean rendering option than sumo-gui.
Besides code documentation, we would like to provide a Sphinx for Driver Dojo.
Update the repository license and add licence for third-party source code included inside our repository.
Already done, just need some little clean-up here and there.
@seawee1 Awesome work! Want to check with you on a clean version of driver-dojo? Thanks.
Hi, I am the developer of DI-engine. I am interested to add a demo/example about using the DRL algorithm in DI-engine on driver-dojo. Can you provide some help and advice? Thanks a lot.
Hello,
I hope this finds you well,
Is it possible to implement occupancy grids in driver dojo.
Regards,
Adi
Right now we have multiple components that are either something like
Subclassing the second would allow for automated stepping and resetting through some registering mechanism.
Eventhough the current state could be enough, it might make sense to invest a few hours to create some additional documentation lines and clean PEP257 docstrings.
As of right now, the core generalization scenarios are very entangled with the DriverDojoEnv source code. It would be much nicer to have every environment as a single file, including specific ego and traffic initialization as well as traffic spawn methods.
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