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May I ask Are the positions of subgoals fixed in all experiment environments, at multitask and zero-shot settings?
At first after reading the paper only, I thought that subpolicy pi is only given s_i (state), so the model can't treat variable subgoal position environments. I read the code and guess the positions are fixed in the code too.
Sorry for my question at this late time(2021).
Thank you in advance :)
The text was updated successfully, but these errors were encountered:
Hi---sorry about the very slow reply to this email! Objects move around
between restarts; the "state" is not an indicator on (x, y) position, but
instead an observation of a (randomly generated) environment that includes
information about the agent's current location. See
https://github.com/jacobandreas/psketch/blob/master/worlds/craft.py#L190.
On Fri, May 21, 2021 at 8:23 AM heyzude ***@***.***> wrote:
May I ask Are the positions of subgoals fixed in all experiment
environments, at multitask and zero-shot settings?
At first after reading the paper only, I thought that subpolicy pi is only
given s_i (state), so the model can't treat variable subgoal position
environments. I guess the positions are fixed in the code too.
Sorry for my question at this late time(2021).
Thank you in advance :)
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May I ask Are the positions of subgoals fixed in all experiment environments, at multitask and zero-shot settings?
At first after reading the paper only, I thought that subpolicy pi is only given s_i (state), so the model can't treat variable subgoal position environments. I read the code and guess the positions are fixed in the code too.
Sorry for my question at this late time(2021).
Thank you in advance :)
The text was updated successfully, but these errors were encountered: