Reinforcement learning with simulink Index error

Hi, i have some problems to run reinforcement learning training algorithm.

i think my model runs good without reinforcement learning block. but with the rl block, i have problem like below..

my battery model is connected with python packages and solver is casadi. i really don't know where does the issues come from.. pls help..

you can contact me [e-mail]

----error---------------------------------------------------------------------

Error using rl.env.AbstractEnv/simWithPolicy (line 83)

Unable to simulate model 'single_RL_v03' with the agent 'agent'.

Error in rl.task.SeriesTrainTask/runImpl (line 33)

[varargout{1},varargout{2}] = simWithPolicy(this.Env,this.Agent,simOpts);

Error in rl.task.Task/run (line 21)

[varargout{1:nargout}] = runImpl(this);

Error in rl.task.TaskSpec/internal_run (line 166)

[varargout{1:nargout}] = run(task);

Error in rl.task.TaskSpec/runDirect (line 170)

[this.Outputs{1:getNumOutputs(this)}] = internal_run(this);

Error in rl.task.TaskSpec/runScalarTask (line 194)

runDirect(this);

Error in rl.task.TaskSpec/run (line 69)

runScalarTask(task);

Error in rl.train.SeriesTrainer/run (line 24)

run(seriestaskspec);

Error in rl.train.TrainingManager/train (line 423)

run(trainer);

Error in rl.train.TrainingManager/run (line 223)

train(this);

Error in rl.agent.AbstractAgent/train (line 77)

TrainingStatistics = run(trainMgr);

Error in run_pybamm_pack (line 132)

trainingStats = train(agent,env,trainOpts);

Caused by:

Error using rl.env.SimulinkEnvWithAgent>localHandleSimoutErrors (line 668)

Index in position 2 is invalid. Array indices must be positive integers or logical values.