carla-simulator / reinforcement-learning

Reinforcement learning baseline agent trained with the Actor-critic (A3C) algorithm.
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Reproducing Results #13

Open seansegal opened 5 years ago

seansegal commented 5 years ago

Hi,

We have been working to reproduce the results of this repository by training an A2C agent from scratch in the CARLA simulator. You can see our code here: https://github.com/seansegal/carla-rl.

While we do see a considerable increase in mean episode reward over the course of our training, we have not be able to match the performance in the benchmarks that was reported in the original CARLA paper. We matched all the hyperparameters given in the paper and for those that are not given, we have tried to infer those from the agent/trained_model/args.txt file inside this repository.

Would it be possible to release the training code for this agent? Given that this is part of an open-source project, is there a reason that it has not been released yet?

If releasing the code is not possible, could you please provide some of the following training details:

Thanks for your help! Sean, Sergio and Seung-Eun (University of Toronto)

eds89 commented 5 years ago

Any progress in this?