Stationary action values in reinforcement learning

1 次查看(过去 30 天)
Hello,
I'am trying to train reinforcement learning with high dimensional actions.
ex)
ActionInfo = rlNumericSpec([9 1], ...
'LowerLimit',[0.012 0.01 0.015 0.05 92 3 0.1 3 0.012]',...
'UpperLimit',[0.030 0.03 0.1 0.3 100 5 0.3 5 0.040]');
and construct my actornetwork with "scalingLayer" and low value of neurons
ex)
but only 3~5 parameter changes (other parameter doesn't change)
ex)
Is there any solution to make all action parameters changeable???
Thank you for help.
  1 个评论
Venu
Venu 2023-11-14
Can you provide some information regarding your learning environment, ObservationInfo?
Thanks

请先登录,再进行评论。

采纳的回答

minhyuk jeung
minhyuk jeung 2023-11-14
移动:Angelo Yeo 2024-5-21
Thank you for your help.
Fortunately, this problem was solved with changing the agent from DDPG to SAC.

更多回答(0 个)

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by