Comments (3)
Hi, you can find these two in the vd4rl repo here. We omitted these to provide the simplest possible implementation. Hope this helps!
from agent-centric-representations.
I am wondering how did you implement the distraction for Hard-Exo(c)
(ie. Figure 1 of the paper). So, does it mean that you trained the agent using Hard-Exo(c)
dataset but evaluate it on the original observation with distraction provided in vd4rl repo?
from agent-centric-representations.
Sorry about the delay in replying! Yes, all evaluations were on the standard set of distractions provided in the vd4rl repo. We created our own dataset for Hard-Exo (c), where one of the 9 agents corresponds to the controllable agent, and the rest are random agents, followed by downsampling this combined 3 x 3 rendering.
from agent-centric-representations.
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