Closed duburcqa closed 3 years ago
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Ray version and other system information (Python version, TensorFlow version, OS):
Hi everyone,
First of all, I would like to thank all the contributors of ray[rllib] for this amazing and very promising project ! I'm the main developer of Jiminy, a fast Python/C++ simulator for poly-articulated systems compatible with openAI Gym learning framework. So far I was using stable_baselines to do some reinforcement learning but I would like to switch to rlllib since it appears to be more efficient and it is very well documented.
I'm trying to port the Jiminy cartpole learning example provided with
gym-jiminy
to rllib. I want to use the same algorithm of simplicity (PPO) and model (FFN), and the same options whenever it is possible. However, it is not converges anymore using rllib and I don't understand why. I tried to change various parameters, without success...Here is the main script I'm using:
Is there something obviously wrong with what I'm doing ?
PS: One should be able to run this script after installling
gym-jiminy
using pip.