Error while running reinforcement learning agent

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Gaurav Shetty 2021-9-15

评论： Guanlong Chen 2022-5-26

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

Gaurav Shetty 2021-9-15

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 2022-5-26

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

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R2020b

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