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Editted Authors of DriverGym project (#669)

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@ -11,7 +11,7 @@ DriverGym
An open-source Gym-compatible environment specifically tailored for developing RL algorithms for autonomous driving. DriverGym provides access to more than 1000 hours of expert logged data and also supports reactive and data-driven agent behavior. The performance of an RL policy can be easily validated using an extensive and flexible closed-loop evaluation protocol. We also provide behavior cloning baselines using supervised learning and RL, trained in DriverGym.
| Authors: Parth Kothari, Christian Perone, Peter Ondruska
| Authors: Parth Kothari, Christian Perone, Luca Bergamini, Alexandre Alahi, Peter Ondruska
| Github: https://github.com/lyft/l5kit
| Paper: https://arxiv.org/abs/2111.06889