receiving different training results while running the same code
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I ran the training of my RL model but forgot to save so i thought i would run the same script again
but i am getting a slightly changed response ?
shouldnt i get the same training results?
also what is relation b/w different sampling times of like actor and agent.
3 个评论
Emmanouil Tzorakoleftherakis
2023-6-2
Can you clarify what you mean by different sample times between agent and actor? Each agent has its own sample time which indicates how often you want to do inference/get an action. Did you see different sample time option used for the actor?
Sourabh
2023-6-2
Emmanouil Tzorakoleftherakis
2023-6-5
max steps will depend on your agent sample time. If it's 100, it means thatthe total episode duration will be 100* ts where ts is the agent sample time.
Also, smaller sample time does not necessarily mean better control. As a rule of thumb, your sample time should only be as small as needed to get good results, not smaller than that to avoid wasting computational resources.
采纳的回答
Are random numbers involved in the process of creating or training your RL model? [My guess is most likely yes.] One way to check this would be to set the state of the random number generator to a known, fixed value using rng then run your code. Reset the generator to that same known, fixed value and run your code again.
rng(0, 'twister');
x = rand(1, 5)
y = rand(1, 5) % not the same as x
isequal(x, y)
rng(0, 'twister');
y = rand(1, 5) % the same as x
isequal(x, y)
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