Load data into experience buffer: DDPG agent

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I am using RL toolbox version 1.1 with Matlab R2019b and using the DDPG agent to design a controller. Is there a way to load in data (state, action, reward, next state) collected from real experiments into the experience buffer before startting training?

回答(2 个)

JiaZheng Yan
JiaZheng Yan 2020-3-31
I find a way to show the Memory of the experience buffer.
You can open the file "ExperienceBuffer.m", which is in "...\Matlab\toolbox\rl\rl\+rl\+util".
In this file, you can the property value of the variable Memory. For example:
Then you set:
agentOpts.SaveExperienceBufferWithAgent = true;
agentOpts.ResetExperienceBufferBeforeTraining = false;
After your training, you can get the data in ''agent.ExperienceBuffer.Memory''
This also means that you can modify and use the training data.
I hope this method works for you : )
  8 个评论
zimeng Wang
zimeng Wang 2022-4-1
您好,我可以用这个方法查看buffer里的数据,但是如何修改或者删除buffer里的数据?
Arman Ali
Arman Ali 2022-8-1
have you found the answer? if yes please guide?

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Priyanshu Mishra
Priyanshu Mishra 2020-2-26
Hi Daksh,
You may find following link useful for your answer.
  2 个评论
Daksh Shukla
Daksh Shukla 2020-2-26
Hello Priyanshu,
Thanks for your response.
However, the link does not exactly resolve the problem I am having. The link talks about running a lot of initial simulations and saving the agent with the experience buffer. But, what I would like to do is use data from "real experiments" and NOT simulations. I would like to add this data to the experience buffer or the replay memory to kick start the DDPG learning.
Based on all my reading and trying to access experience buffer in Matlab, it seems like experience buffer object is a hidden property and I cannot upload data to it directly from an external source.
I would really appreciate if you could let me know a direct way to upload data to the experience buffer, if there is one.

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