Комментарии:
Can I borrow one of these and train it to clean up pinecones?
Ответитьgood job,
ОтветитьWhereas I am not an expert on either, it seems to be a matter of definitions. Yes, if you impose a trajectory as target for optimal control, you are solving an inverse dynamics problem, which means multi-order differentiation. This significantly limits the scope of feasible solutions on an input level, yet it leaves you with a more tangible optimisation problem (to find a global optimum within the remaining scope of solutions). However, it is surely possible to also define an optimal control problem on a task level. This enlarges the scope of solutions, and likely exposes many local optimums that are better than the global optimum of the formerly described trajectory-based optimisation problem. However, now you have an optimisation problem that is no longer tangible on a global level. This requires you to settle on (quasi-)local optimisation approaches, of which reinforcement learning is a fine example.
ОтветитьMusic is too loud. You'd be better off without music, but at least turn it down to background levels.
Ответить😍good job, very nice
ОтветитьAmazing!. Imagine when future humanoid robots are having their own olympics because they surpass humans. Probably in the next 2 decades.
ОтветитьWow! This is really cool stuff! What splendid automation 😮 Thank you algorithm for taking be here 😊
ОтветитьYou can see in the young kid's eyes that he just realized he's out of job :(
ОтветитьINSANE
ОтветитьBeautiful!
ОтветитьGreat job! Indy 500 next?
ОтветитьInteresting, I wonder if it's possible to integrate OC techniques with DQN, to maintain the efficiency but make it amenable to formal verification.
Ответитьsick
ОтветитьWell done guys 👌👍 It's been a long way, happy that I could also be a part of it before my retirement (as a Drone Racing Pilot) 😉 best Regards Kay
ОтветитьIncredible
Please take me there 🥹🥹🥹
Next step: add weather conditions. Damn this was incredible!
ОтветитьCongratulations, that is a really extraordinary feat.
ОтветитьOne day, I dream I can achieve that. Damn! 😆
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