How can I have several actions for a DQN in the Reinforcement Learning Toolbox?
7 ビュー (過去 30 日間)
古いコメントを表示
Rusczak
2019 年 5 月 6 日
コメント済み: Huzaifah Shamim
2020 年 7 月 9 日
I'm trying to define the output of a DQN agent with a custom environment, and can't use the actionInfo = rlFiniteSetSpec() correctly.
I'm trying to control 3 actuators that will receive commands 0 and 1.
I always get number of actions = 1.
And the documentation is not clear as it's a new toolbox.
Any suggestions?
3 件のコメント
Huzaifah Shamim
2020 年 7 月 9 日
Oh nice okok. What custom environment where you trying to make?
Also how should I approach it if i have 3 agents (like your three actuators) but 12 actions could be applied to them?
採用された回答
Emmanouil Tzorakoleftherakis
2019 年 5 月 11 日
If you type
help rlFiniteSetSpec
the second example is
spec = rlFiniteSetSpec({[0,1];[1,1];[1,2];[1,3]})
If you define all possible combinations of the discrete inputs in a cell array as above, that should work (think of a single action as one possible combination of your 3 actuator commands).
I hope this helps.
0 件のコメント
その他の回答 (0 件)
参考
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!