rondorf / borel Goto Github PK

Hi, I'm trying to implement the code now, but I can't make sure how many tasks the environment of Cheetah-vel use as the paper. I would greatly thanks for your help!

Hi,

Is multi-processing functionality available for the online_training.py script? For me, for the same env, the BOReL code is taking much longer to run than VariBAD.

Thank you!

Hello, may I ask why the average return of the gridworld task I reproduced using this code is very different from the average return in the paper?All parameters are consistent with the article but poor results are obtained.

Thank you for your inspirational great work and open sourcing of the code. I have a question regarding the walker random environment. The walker can not walk when the reward is 800, this is the case for all the algorithms that use this environment. When doing a comparative analysis are we supposed only to compare the reward or is the reward scaled for this environment?

Have you observed a walking behavior when using the algorithms that use this environment?