@alanrosca@robkhenderson While wealth is one of the better metrics. But I would be dumb to measure smartness just by wealth and compare ppl with different interests and different industry
@Kangwook_Lee How can VLM judge for skills given for weird morphology?
Is there any finding that it gives reasonable scores for prompt and the video or seq of images ?
@Kangwook_Lee How is it different than Eureka and it's derivatives?
And is conpatible with any skills that I prompt for a quadruped or humanoid, for example, Ronaldo suiii?
@michaelpiseno_@AlecSaysThings Thanks for your insight. The MimicKit codebase implementation doesn't have history of observations afaik, I'm also using one cycle of animated reference motion like walking or bounding for go2. Is it very less, and prolly discriminator is overfitting on that?
@ironwagh Love the work you have been doing. Just curios to know, the general perception of VCs in India, and how they are backing the upcoming Robotics startups, or do you seek funding from outside India.
@ChenTessler@Sentdex@atmoio Do you think we should keep in touch with the technical details of research like the core implementation of DeepMimic or CALM for example, if we don't know the details it would be harder to know what's going wrong when you bring them to actual real world deployment.
@KyleMorgenstein My understanding of DR in context of locomotion is collecting trajectories from multiple MDPs, where each MDP has different p(s'|s,a) due to environment factors. If the policy can figure out which MDP it is working on ( proprio history), won't it take the optimal action?