Pausing reinforcement learning by forcing

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SHromaneko
SHromaneko 2024-1-2
编辑： SHromaneko 2024-1-10
I'm running reinforcement learning, but I think there are times when I think it's not going well and want to stop it.
If you stop today's learning agent executed with the code below with Training stopped, simulink will freeze and stop working.
Repeatedly hitting the escape key doesn't work either.
so that you can stop it properly
Is there something wrong with the code?
numObs = 9;
obsInfo = rlNumericSpec([numObs 1]);
obsInfo.Name = "observations";
mdl = "kineticmodel_wIAVFBC_IncS2Ea_NH3FBC";
open_system(mdl)
numAct = 1;
actInfo = rlNumericSpec([numAct 1],LowerLimit=0,UpperLimit=1);
actInfo.Name = "NH3";
blk = mdl + "/RL agent/RL Agent";
env = rlSimulinkEnv(mdl,blk,obsInfo,actInfo);
Ts = 1
agent = createDDPGAgent(numObs,obsInfo,numAct,actInfo,Ts);
maxEpisodes = 2000;
Tf = 1240*3
maxSteps = floor(Tf/Ts);
trainOpts = rlTrainingOptions(...
MaxEpisodes=maxEpisodes,...
MaxStepsPerEpisode=maxSteps,...
ScoreAveragingWindowLength=250,...
Verbose=false,...
Plots="training-progress",...
StopTrainingCriteria="EpisodeCount",...
StopTrainingValue=maxEpisodes,...
SaveAgentCriteria="EpisodeCount",...
SaveAgentValue=maxEpisodes);
doTraining = true;
if doTraining
% Train the agent.
trainingStats = train(agent,env,trainOpts);
else
% Load a pretrained agent for the selected agent type.
if strcmp(AgentSelection,"DDPG")
load("rlWalkingBipedRobotDDPG.mat","agent")
else
load("rlWalkingBipedRobotTD3.mat","agent")
end
end

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采纳的回答

Emmanouil Tzorakoleftherakis
The proper way to stop it would be through the Episode Manager (top right of the window). Does this not work for you?

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