Comments (4)
MarvinLer
commented on August 25, 2024
What is the problem here? The reset of the Action into do-nothing ? Maybe the simulator changed the action because:
- there are illegal activations of on-cooldown switches
- there are more activated elements than tolerated, in that case the action is indeed converted into a do-nothing
As for the difference with np array, this is because you cannot change a np array by reference in python, but an object passed as reference can be modified within a function.
Do you mean in both case the action object of the agent should be replaced in-place or not replaced at all ?
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luvf
commented on August 25, 2024
as far as I know the action applied is legal : for (GreedySearch, and an expert agent)
happens at each timestep (even the first one (no cooldown))
I think the object shouldn't be modified.
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MarvinLer
commented on August 25, 2024
Okay I'll look into it in a couple of hours and make it such that Action
type objects are not modified with environment.step
…On Mon, May 6, 2019 at 4:10 PM Luca Veyrin-Forrer ***@***.***> wrote:
as far as I know the action applied is legal : for (GreedySearch, and an
expert agent)
happens at each timestep (even the first one (no cooldown))
I think the object shouldn't be modified.
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MarvinLer
commented on August 25, 2024
This should be fixed in 536100b, can you confirm ?
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Related Issues (20)
- chronic end bug with geedy Search HOT 6
- random error with random agent HOT 1
- gym compatibility HOT 2
- Codalab pytorch HOT 2
- Confusing action name HOT 2
- Confusing get_switches_configuration_of_substation(*args) behaviour HOT 1
- DoNothing incompatibility with new Observation and Action HOT 1
- L'agent par défaut n'est pas défini HOT 1
- Echec du mode render HOT 4
- Install: no module named gym HOT 2
- Fix amperes values HOT 5
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- Max number action bug HOT 2
- apply_topology in game.py - load setting problem HOT 2
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- Score & reward are intermixed - give access to observation in simulate HOT 1
- function reset HOT 2
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