How do I solve this error?

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Apoorv Pandey
Apoorv Pandey 2023-3-24
评论： Cris LaPierre 2023-3-27
I am getting this error when I try to train a TD3 RL agent.
Thanking You
Apoorv Pandey

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Cris LaPierre
Cris LaPierre 2023-3-24
When defining your rlQValueFunction, include the ActionInputNames and OvservationInputNames name-value pairs.
See this example: https://www.mathworks.com/help/reinforcement-learning/ref/rl.function.rlqvaluefunction.html#mw_da4065e4-5b9a-41c6-b11b-6692d8698a76
% Observation path layers
obsPath = [featureInputLayer( ...
prod(obsInfo.Dimension), ...
Name="netObsInput")
fullyConnectedLayer(16)
reluLayer
fullyConnectedLayer(5,Name="obsout")];
% Action path layers
actPath = [featureInputLayer( ...
prod(actInfo.Dimension), ...
Name="netActInput")
fullyConnectedLayer(16)
reluLayer
fullyConnectedLayer(5,Name="actout")];
%<snip>
critic = rlQValueFunction(net,...
obsInfo,actInfo, ...
ObservationInputNames="netObsInput",...
ActionInputNames="netActInput")
  2 个评论
Apoorv Pandey
Apoorv Pandey 2023-3-27
SAC
I have used the exact same code as mentioned in the link and still getting the error. Please help
Cris LaPierre
Cris LaPierre 2023-3-27
Please share your data and your code. You can attach files using the paperclip icon. If it's easier,save your workspace variables to a mat file and attach that.

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