Viewing profile — siekmanj
siekmanj
HN member- Joined
- Sun, Mar 04, 2018, 7:31 PM UTC
- HN karma
- 82
- Public activity
- 46 items
- HN profile
- View on Hacker News ↗
About siekmanj
No profile information was provided.
Recent public activity
-
comment
Comment #49126432
Judging from recent improvement it doesn't appear to be a dead end technology, but I guess time will tell!
-
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…
-
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…
-
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…
- story
-
comment
Comment #34645140
"RL: A Deep Reinforcement Learning Framework" seems to have been hallucinated, does not exist.
-
comment
Comment #33000377
Video here: https://twitter.com/oregonstatenews/status/15747969243260108...
- story
-
comment
Comment #32139416
https://archive.ph/8X76D
-
comment
Comment #32002617
True, but it's not trying to be multi-threaded, just concurrent.
-
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 …
- story
-
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…
-
comment
Comment #28910395
This is an amazing outcome. The license cost was a huge barrier to entry and the progress of deep RL generally.
-
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…
-
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
-
comment
Comment #27778061
It's a German phrase which colloquially translated means 'Gotta go bro'
-
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.
-
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…
- story
- story
-
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 …
-
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…
-
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.
-
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.