Answers.Body: <p>You could use Ray RLlib. It has support for parallel environments, even over multiple GPUs and compute nodes.</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2020-10-18T16:22:11.060Z
Answers.LastActivityDate: 2020-10-18T16:22:11.060Z
Answers.UserDisplayName: Tom Dörr
Body: <p>I have an environment that is computationally heavy (takes several seconds to get a reward and next state). This limits reinforcement capability, due to poor sampling of the problem. There is any strategy that could be used to address the problem (e.g. If I can use the environment in parallel, then I could use a multi-agent approach)</p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2020-09-22T18:28:58.923Z
Comments.Text: Mltiple environments, installing some form of reward shaping or prior knowledge into the problem?
Comments.UserDisplayName: FourierFlux
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2020-09-23T14:53:11.003Z
Comments.Text: @FourierFlux
  In terms of multiple environments - then how you would integrate them? Average updates like in A3C alg. ?
Comments.UserDisplayName: Daniel Wiczew
Tags: <reinforcement-learning><environment>
Title: What are the strategies for computationally heavy environments or long-time waiting environments?
UserDisplayName: Daniel Wiczew
ThreadText: # What are the strategies for computationally heavy environments or long-time waiting environments?
  
  (Asked by: username_0 on 2020-09-22)
  
  I have an environment that is computationally heavy (takes several seconds to get a reward and next state). This limits reinforcement capability, due to poor sampling of the problem. There is any strategy that could be used to address the problem (e.g. If I can use the environment in parallel, then I could use a multi-agent approach)
  
  **Tags:** reinforcement-learning, environment
  > **Comments:**
  > **username_1**: Mltiple environments, installing some form of reward shaping or prior knowledge into the problem?  
  > **username_0**: @FourierFlux In terms of multiple environments - then how you would integrate them? Average updates like in A3C alg. ?  
  
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  ## 1 answers
  
  ### Answer by username_2 on 2020-10-18. Score: 0
  
  You could use Ray RLlib. It has support for parallel environments, even over multiple GPUs and compute nodes.
  
  
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