#drivergym search results

Parth Kothari et al. propose #DriverGym, an open-source #OpenAI Gym-compatible environment specifically tailored for developing #RLalgorithms for autonomous driving. DriverGym provides access to more than 1000 hours of expert logged data and also supports reactive agent behavior.

DriverGym: Democratising Reinforcement Learning for Autonomous Driving abs: arxiv.org/abs/2111.06889 provides access to more than 1000 hours of expert logged data and also supports reactive and data-driven agent behavior

_akhaliq's tweet image. DriverGym: Democratising Reinforcement Learning
for Autonomous Driving
abs: arxiv.org/abs/2111.06889

provides access to more than 1000 hours of expert logged data and also supports reactive and data-driven agent behavior


Parth Kothari et al. propose #DriverGym, an open-source #OpenAI Gym-compatible environment specifically tailored for developing #RLalgorithms for autonomous driving. DriverGym provides access to more than 1000 hours of expert logged data and also supports reactive agent behavior.

DriverGym: Democratising Reinforcement Learning for Autonomous Driving abs: arxiv.org/abs/2111.06889 provides access to more than 1000 hours of expert logged data and also supports reactive and data-driven agent behavior

_akhaliq's tweet image. DriverGym: Democratising Reinforcement Learning
for Autonomous Driving
abs: arxiv.org/abs/2111.06889

provides access to more than 1000 hours of expert logged data and also supports reactive and data-driven agent behavior


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