Encountering problems in creating a Simulink interactive time-sequenced reinforcement learning environment.

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浩文
浩文 2025-6-24
评论： 浩文 2025-7-4
I want to set up an online learning environment for PPO in Simulink, and the status input is 2*100 time series data, and I would like to ask how to implement it. observationInfo = rlNumericSpec([2 100]); When I use this code, I get an error.
错误使用 rl.internal.validate.mapFunctionObservationInput (第 50 行)
Model input sizes must match the dimensions specified in the corresponding observation and action info specifications.
出错 rlDiscreteCategoricalActor (第 86 行)
model = rl.internal.validate.mapFunctionObservationInput(model,...
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
出错 rl_demo (第 80 行)
actor = rlDiscreteCategoricalActor(actorNetwork,observationInfo,actionInfo);
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

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Kautuk Raj
Kautuk Raj 2025-7-1
I can see that you are facing the error "Model input sizes must match the dimensions specified in the corresponding observation and action info specifications".
I had also faced the same error during one of my workflows.
I updated my MATLAB version to R2024a (or beyond) and this fixed it for me.
Suggesting you to try the same!
  1 个评论
浩文
浩文 2025-7-4
My matlab version is 2024b, and the observation space is changed to [2 1] network output layer: sequenceInputLayer(2). It's not working, please show me the code, let me refer to check where my problem is, I would be very grateful.

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