OpenAI Gym custom env. multi discrete action space or tuple space example? Announcing the...

How to create a command for the "strange m" symbol in latex?

What is the definining line between a helicopter and a drone a person can ride in?

What's the difference between using dependency injection with a container and using a service locator?

Meaning of this sentence, confused by まで

If gravity precedes the formation of a solar system, where did the mass come from that caused the gravity?

Suing a Police Officer Instead of the Police Department

Why did Bronn offer to be Tyrion Lannister's champion in trial by combat?

How to keep bees out of canned beverages?

Is Bran literally the world's memory?

tabularx column has extra padding at right?

Who can become a wight?

2 sample t test for sample sizes - 30,000 and 150,000

How to produce a PS1 prompt in bash or ksh93 similar to tcsh

Is "ein Herz wie das meine" an antiquated or colloquial use of the possesive pronoun?

Construct a nonabelian group of order 44

Why did Israel vote against lifting the American embargo on Cuba?

Assertions In A Mock Callout Test

Why doesn't the university give past final exams' answers?

How to break 信じようとしていただけかも知れない into separate parts?

Married in secret, can marital status in passport be changed at a later date?

lm and glm function in R

What could prevent concentrated local exploration?

Sorting the characters in a utf-16 string in java

Providing direct feedback to a product salesperson



OpenAI Gym custom env. multi discrete action space or tuple space example?



Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 23, 2019 at 23:30 UTC (7:30pm US/Eastern)





.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty{ height:90px;width:728px;box-sizing:border-box;
}







0















I am trying to implement my custom env. into the openai gym



So far, I am using continuous action space (6 ch)



so input dimension can be used with env.action_space.shape[0]



But I found that it is not stable in my env. I decided to move to multi discrete space like with limited interger values (100, 100, 10, 5, 6, 100 ) something like this



But when I was not able to find any example using multidiscrete or tuple space to handle my actions properly.



Anyone knows any example I can try for my custom env.?










share|improve this question







New contributor




Jake Jeong is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.



























    0















    I am trying to implement my custom env. into the openai gym



    So far, I am using continuous action space (6 ch)



    so input dimension can be used with env.action_space.shape[0]



    But I found that it is not stable in my env. I decided to move to multi discrete space like with limited interger values (100, 100, 10, 5, 6, 100 ) something like this



    But when I was not able to find any example using multidiscrete or tuple space to handle my actions properly.



    Anyone knows any example I can try for my custom env.?










    share|improve this question







    New contributor




    Jake Jeong is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.























      0












      0








      0








      I am trying to implement my custom env. into the openai gym



      So far, I am using continuous action space (6 ch)



      so input dimension can be used with env.action_space.shape[0]



      But I found that it is not stable in my env. I decided to move to multi discrete space like with limited interger values (100, 100, 10, 5, 6, 100 ) something like this



      But when I was not able to find any example using multidiscrete or tuple space to handle my actions properly.



      Anyone knows any example I can try for my custom env.?










      share|improve this question







      New contributor




      Jake Jeong is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.












      I am trying to implement my custom env. into the openai gym



      So far, I am using continuous action space (6 ch)



      so input dimension can be used with env.action_space.shape[0]



      But I found that it is not stable in my env. I decided to move to multi discrete space like with limited interger values (100, 100, 10, 5, 6, 100 ) something like this



      But when I was not able to find any example using multidiscrete or tuple space to handle my actions properly.



      Anyone knows any example I can try for my custom env.?







      python






      share|improve this question







      New contributor




      Jake Jeong is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.











      share|improve this question







      New contributor




      Jake Jeong is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.









      share|improve this question




      share|improve this question






      New contributor




      Jake Jeong is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.









      asked 5 hours ago









      Jake JeongJake Jeong

      1




      1




      New contributor




      Jake Jeong is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.





      New contributor





      Jake Jeong is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.






      Jake Jeong is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.






















          0






          active

          oldest

          votes












          Your Answer








          StackExchange.ready(function() {
          var channelOptions = {
          tags: "".split(" "),
          id: "3"
          };
          initTagRenderer("".split(" "), "".split(" "), channelOptions);

          StackExchange.using("externalEditor", function() {
          // Have to fire editor after snippets, if snippets enabled
          if (StackExchange.settings.snippets.snippetsEnabled) {
          StackExchange.using("snippets", function() {
          createEditor();
          });
          }
          else {
          createEditor();
          }
          });

          function createEditor() {
          StackExchange.prepareEditor({
          heartbeatType: 'answer',
          autoActivateHeartbeat: false,
          convertImagesToLinks: true,
          noModals: true,
          showLowRepImageUploadWarning: true,
          reputationToPostImages: 10,
          bindNavPrevention: true,
          postfix: "",
          imageUploader: {
          brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
          contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
          allowUrls: true
          },
          onDemand: true,
          discardSelector: ".discard-answer"
          ,immediatelyShowMarkdownHelp:true
          });


          }
          });






          Jake Jeong is a new contributor. Be nice, and check out our Code of Conduct.










          draft saved

          draft discarded


















          StackExchange.ready(
          function () {
          StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fsuperuser.com%2fquestions%2f1428408%2fopenai-gym-custom-env-multi-discrete-action-space-or-tuple-space-example%23new-answer', 'question_page');
          }
          );

          Post as a guest















          Required, but never shown

























          0






          active

          oldest

          votes








          0






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes








          Jake Jeong is a new contributor. Be nice, and check out our Code of Conduct.










          draft saved

          draft discarded


















          Jake Jeong is a new contributor. Be nice, and check out our Code of Conduct.













          Jake Jeong is a new contributor. Be nice, and check out our Code of Conduct.












          Jake Jeong is a new contributor. Be nice, and check out our Code of Conduct.
















          Thanks for contributing an answer to Super User!


          • Please be sure to answer the question. Provide details and share your research!

          But avoid



          • Asking for help, clarification, or responding to other answers.

          • Making statements based on opinion; back them up with references or personal experience.


          To learn more, see our tips on writing great answers.




          draft saved


          draft discarded














          StackExchange.ready(
          function () {
          StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fsuperuser.com%2fquestions%2f1428408%2fopenai-gym-custom-env-multi-discrete-action-space-or-tuple-space-example%23new-answer', 'question_page');
          }
          );

          Post as a guest















          Required, but never shown





















































          Required, but never shown














          Required, but never shown












          Required, but never shown







          Required, but never shown

































          Required, but never shown














          Required, but never shown












          Required, but never shown







          Required, but never shown







          Popular posts from this blog

          VNC viewer RFB protocol error: bad desktop size 0x0I Cannot Type the Key 'd' (lowercase) in VNC Viewer...

          Tribunal Administrativo e Fiscal de Mirandela Referências Menu de...

          looking for continuous Screen Capture for retroactivly reproducing errors, timeback machineRolling desktop...