- 
                Notifications
    You must be signed in to change notification settings 
- Fork 98
Open
Description
Thank you for your great codes.
I have a question for the initial variance of CEM.
According  your code, you used the initial variance as follows:
self.init_var = np.tile(np.square(self.ac_ub - self.ac_lb) / 16, [self.plan_hor])
I am trying to implement CEM for MBRLHalfCheetah-v0 by using the true model like you did in your paper.
However, I got the poor results. Did you you use this parameter for all tasks ??
Actually, I got a good result for the CartPole task.
Also, How did you set the parameters of CEM to get the stable results.
"CEM": { "popsize": 500, "num_elites": 50, "max_iters": 5, "alpha": 0.1 }
Thank you for your help.
Metadata
Metadata
Assignees
Labels
No labels