The difference between the two outputs is the computational graph I want attached to them. I don’t think the concatenation achieves this effect.
Either way, if there isn’t a straightforward method of achieving this, I’ll keep the double forward pass for now…



 alexis-jacq:

Wow, I didn’t know that paper, the results with videos are amazing  I’m looking forward to seeing your implementation working as well!
By the way, now I’m thinking about this idea of nearest embedded applied to reinforcement learning. If someday I have available time


Yeah, very nice concept with intriguing results. Hoping my implementation will get close to that