4 ms·
Next step: transfer learning and sharing amongst sub-policies in the graph hierarchy. If an Ant Agent learns to "move up" to avoid obstacle or reach goal. Why c
by indescions_2017 9y ago
Next step: transfer learning and sharing amongst sub-policies in the graph hierarchy. If an Ant Agent learns to "move up" to avoid obstacle or reach goal. Why can't it infer the same for any cardinal or diagonal direction, after observing the world around it. It's just a rotation or translation after all.
Also, for small numbers of sub-policies, would Monte Carlo playouts be faster. Where we are searching over the next step the Any may encounter. Which presumably is a finite set of possible "wall-floor" configurations ;)
In any case, great work! Always love watching OpenAI vids...
- derefr 9y ago> It's just a rotation or translation after all. My intuition from working on various computer vision tasks, is that animal brains would do this more by rotating the perspective at the post-optic synapses, rather than having a generalized plan. We still only know how to "move up"; we just change the angle we're understanding the scene from, and so change what "up" means.
- jng 9y agoWell, it's really hard to read text upside down.
- fiddlerwoaroof 9y agoI’ve heard this many times, but I’ve never had any issues reading text at any angle.