Reinforcement learning with simulink Index error

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sungho park
sungho park 2021-12-15
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 psh0814@icloud.com
----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.

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