mlurp

6 ms·

31.
by mlurp 7y ago
Mind if I ask why? Isn't it something that probably gets passed around once it's out?
32.
by mlurp 7y ago
Hey, I'm in prov too. I'm pretty busy but hit me up if you're interested in hanging out sometime.
33.
An Interactive Introduction to Simulated Annealing(declanoller.com)
4 points by mlurp 7y ago|0 comments
34.
by mlurp 7y ago
I used python, pytorch, and sympy to try and make neural networks assemble and train to be effective at simple logic gate tasks. When one successfully assembles for a simple task, I "modularize" it to try and make it usable in mor
35.
Descending into modular neuroevolution for logic circuits(declanoller.com)
2 points by mlurp 7y ago|1 comments
36.
by mlurp 8y ago
I trained a robot to learn to play the game "puckworld" using RL (Q learning with experience replay, using pytorch). I had done some RL stuff before, but didn't appreciate how hard it could be getting something physical to wo
37.
Training a real robot to play Puckworld with reinforcement learning(declanoller.com)
2 points by mlurp 8y ago|1 comments
38.
by mlurp 8y ago
I know it's really hard to predict what people will or won't want in the future, but... Would people want this, even if it worked really well?
39.
by mlurp 8y ago
MO is definitely high level, but like all SO/SE, I've always found their format to be really restricting. Not everything can be phrased as an objective question. Sometimes the best stuff have come out of something like "I was
40.
Using Neuroevolution to Beat OpenAI Games in Python(declanoller.com)
2 points by mlurp 8y ago|0 comments
41.
by mlurp 8y ago
Gambling (especially aimed at minors) def gives me an "icky" feeling too, but I'm not sure the "tangible" aspect is very key. To me, it seems like McDonald's food that's physical but lasts a short time is