Closed itabhiyanta closed 5 years ago
Hi
You may have forgotten an extra flag (render/norender)
python model.py render log/carracing.cma.16.64.best.json
Chk out blog post http://blog.otoro.net/2018/06/09/world-models-experiments/
On Thu, Dec 20, 2018 at 12:28 AM itabhiyanta notifications@github.com wrote:
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yep that was it. i didn't use it thinking that since i do not use the gym environment in general it doesn't apply to me. thanks
cool. I'd be interested to see any results for custom environments, looking forward to see your publications in the future.
Hi @hardmaru
Thanks for posting this repo. i have a strange issue I see a very promising curve for the training of my CMA-ES model however i cannot replicate the results when i execute the following command.
python3.5 model.py log/filewiththe best stats.json![dispatch](https://user-images.githubusercontent.com/8046022/50229883-a1c76100-03ab-11e9-826c-b1b7b65c493f.png)
I am using a custom environment.
I also wish to ask you something about the number of processors for the training of the CMA-ES model. I used 16 processors and also 48 processors (couldn't use 64 processors as then i run out of memory). Do you think reducing the number of processors for training of the CMA-ES model will have some adverse effect?
Kindly advise. Rohit