Live data from Hacker News

Viewing profile — siekmanj

siekmanj

HN member
Joined
Sun, Mar 04, 2018, 7:31 PM UTC
HN karma
82
Public activity
46 items

About siekmanj

No profile information was provided.

Recent public activity

  1. comment
    Comment #49126432

    Judging from recent improvement it doesn't appear to be a dead end technology, but I guess time will tell!

  2. comment
    Comment #49117810

    yes, for heavy lift and bulk manipulation high gear ratios are still necessary. Maybe someday cable drives will be feasible. No question that we are not at human performance yet or…

  3. comment
    Comment #49114508

    Actuators on modern humanoids use cycloids or planetary reducers, not strain waves. They are much more compliant and backdrivable because of the huge reduction in reflected inertia…

  4. comment
    Comment #49114143

    I could not disagree more with the claim about no improvement in robotic actuators. The torque density and price of actuators has fallen dramatically since Ben Katz's MIT work on m…

  5. story
  6. comment
    Comment #34645140

    "RL: A Deep Reinforcement Learning Framework" seems to have been hallucinated, does not exist.

  7. comment
    Comment #33000377

    Video here: https://twitter.com/oregonstatenews/status/15747969243260108...

  8. story
  9. comment
    Comment #32139416

    https://archive.ph/8X76D

  10. comment
    Comment #32002617

    True, but it's not trying to be multi-threaded, just concurrent.

  11. comment
    Comment #32002346

    Python has actually had concurrency since about 2019: https://docs.python.org/3/library/asyncio.html . Having used it a few times, it seems fairly sane, but tbf my experience with …

  12. story
  13. comment
    Comment #30471427

    From some cursory googling: Afghanistan peak US troops: 102,000 (2011) Gulf war peak US troops: 700,000 (1990-1991) Iraq peak US troops: range from 168,000 - 192,000 (2007) Vietnam…

  14. comment
    Comment #28910395

    This is an amazing outcome. The license cost was a huge barrier to entry and the progress of deep RL generally.

  15. comment
    Comment #28795592

    The sim2real approach can work pretty well as long as you are very in tune with where your simulator falls short relative to the real world and take steps to circumvent those short…

  16. comment
    Comment #27817826

    Since you mentioned it--here's what Oregon State University and the Cassie group is up to these days: https://youtu.be/MPhEmC6b6XU

  17. comment
    Comment #27778061

    It's a German phrase which colloquially translated means 'Gotta go bro'

  18. comment
    Comment #27532111

    Actually, I think it is conventional neural networks which can only approximate finite state machines. RNNs are (in theory, not so much in practice) Turing complete.

  19. comment
    Comment #27228062

    Hey everyone, I am one of the authors of the paper described in this article. We used reinforcement learning and recurrent neural networks to learn a controller which can ascend an…

  20. story
  21. story
  22. comment
    Comment #26463291

    I was always very unimpressed with VR until I borrowed a headset to play Half Life Alyx. That game convinced me VR is the inevitable future of gaming. The rest of the industry may …

  23. comment
    Comment #21965348

    This is mostly true for supervised and unsupervised learning models, but for reinforcement learning the LSTM is king because of the convenient fact that it can be evaluated one tim…

  24. comment
    Comment #21236085

    Python doesn’t really have scope in that way. Variables declared inside an if statement can be accessed outside of the if statement.

  25. comment
    Comment #20775258

    Wow. I have been looking for a good resource on implementing self-attention/transformers on my own for the last week - can't wait to read this through.