Closed Beanpow closed 6 months ago
Hi, thanks for trying out our code!
In the supplementary material of the paper you can find the detail of the hyperparameters used for every environment, you can take them from there. As you have also tested, Lattice with gSDE required higher initial standard deviation to work well in the elbow pose environment. We used multiple environments in parallel to speed up the training, you might want to try that.
Lattice without SDE was added after the publication of the paper, so we have not benchmarked it in the elbow pose environment. However, we have used for our solution of the MyoChallenge 2023. From your learning curves it seems like it's solving the task correctly!
Hi, thanks for sharing your code. Recently, I am trying to reproduce your result in your paper. But I got different results. Could you give me some insights?
I didn't modify any code, just ran the following commands
State-independent Lattice freq=1
non-sde exploration
State-dependent Lattice freq=1
State-dependent Lattice freq=1 init_log_std=1
and here is the result I got.
So, my question is: