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Published 20 hours ago • verified publisher icon cpnota

SAC and DDPG parameters for 'Hopper-v3' from Mujoco

Open Will-Nie opened this issue 3 years ago • 0 comments

HI, I recently ran 'Hopper-v3' from mujoco_py (license is free to obtain now) in autonomous-learning-library by adopting the default setting from pybullet 'HopperBulletEnv-v0' and plotted the results as follows: (SAC was the algo I used)

Screenshot 2022-01-05 at 3 33 22 PM

It seems the parameters can not be simply adopted from 'HopperBulletEnv-v0' to run 'Hopper-v3' since normally the score would reach 3000 after 1~2m env step. May I ask if you could make a set of parameters for Hopper-v3 for the algorithm sac and ddpg. Thanks in advance!

Will-Nie avatar Jan 05 '22 15:01 Will-Nie