Error while running reinforcement learning agent

Error:-

Error using rl.env.SimulinkEnvWithAgent>localHandleSimoutErrors (line 681)

Invalid input argument type or size such as observation, reward, isdone or loggedSignals.

Error using rl.env.SimulinkEnvWithAgent>localHandleSimoutErrors (line 681)

Unable to compute gradient from representation.

Error using rl.env.SimulinkEnvWithAgent>localHandleSimoutErrors (line 681)

Number of elements must not change. Use [] as one of the size inputs to automatically calculate the appropriate size for that dimension.

Running code using cpu. Matlab version 2020b.

Checked the dimesion and size all looks proper. What can be the possible cause of error

[Walter Roberson]

What is the class and size of the parameters you are using?

[Gaurav Shetty]

For the observation I am taking [12 1] matrix inputs and giving [3 1] output, all of them are continous data and type is double

[Gaurav Shetty]

This is the code:-

obsInfo=rlNumericSpec([12,1]);

obsInfo.Name="observations";

obsInfo.Description='velx ,vely ,velz ,rollrate ,pitchrate ,yawrate ,bankangle ,pitchangle ,yawangle ,pn ,pe ,pd';

numObservations = obsInfo.Dimension(1);

actInfo=rlNumericSpec([3,1],...

'LowerLimit',[-25*(pi/180) -25*(pi/180) -30*(pi/180)]',...

'UpperLimit',[25*(pi/180) 25*(pi/180) 30*(pi/180)]');

actInfo.Name="controldeflection";

actInfo.Description='aileron ,tail ,ruddder';

numActions = actInfo.Dimension(1);

env = rlSimulinkEnv('rcam_reinforcement_test1','rcam_reinforcement_test1/RL Agent',obsInfo,actInfo);

[Guanlong Chen]

Have you solved your problem? I have met the same problem