Use saved reinforcement learning DDPG agent

I have saved DDPG agent using the optiopn

rlTrainingOptions.SaveAgentValue = 3000

During the simulations number of agents are saved that have episode value greater than 3000. However when I am trying to use the exact same agent for simulation using the command:

simOptions = rlSimulationOptions('MaxSteps',maxSteps);

experience = sim(env,saved_agent,simOptions);

But i an not getting the exact same response as I got during the training. My variance is 0.5 and my variance decay rate is 1e-4. How to replicate the behavior that I got during training using the same agent

Answer 1

[Emmanouil Tzorakoleftherakis]

Hello,

Please see my response here. In short, the behavior you see during training and after training are not expexted to match 100%.