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manantomar avatar manantomar commented on June 16, 2024

Hi, you can find these two in the vd4rl repo here. We omitted these to provide the simplest possible implementation. Hope this helps!

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gunnxx avatar gunnxx commented on June 16, 2024

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?

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manantomar avatar manantomar commented on June 16, 2024

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.

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