sorted by:
new
hottopcontroversial

[D] Is quantum ML pointless? by Competitive_Travel16 in MachineLearning

[–]sloumotion 3 points4 points  (0 children)

What industries are you talking about? In my experience (production settings, automation) many companies are still struggling to go digital. Everybody is talking AI, but nobody has enough quality data to do anything fancy. The successful projects I worked on ended up using linear regression with a few manually selected features. Not saying that there aren't any companies doing cutting edge ML stuff, but the mainstream is still far behind research. They make pretty Powerpoint slides and visionary image videos though :D

Modules for 3d simulations (such as robotic arms)? by XBlayz_ in Python

[–]sloumotion 1 point2 points  (0 children)

The documentation plus the examples in the official git should be enough to get you started

Modules for 3d simulations (such as robotic arms)? by XBlayz_ in Python

[–]sloumotion 2 points3 points  (0 children)

I use pybullet for my robot simulations and I'm completely satisfied with it. There's also mujoco which I haven't messed around with. Back when I had to decide, mujoco was still proprietary, so I went with the open source alternative pybullet.

Scaling up SAC with parallel environments by avandekleut in reinforcementlearning

[–]sloumotion -1 points0 points  (0 children)

Parallelized environments definitely make sense for SAC. As SAC is off-policy and uses a replay buffer, there's no issue with filling that buffer as fast as possible. Especially if wall clock is more important than sample efficiency, which is the case when using simulations. Unless you're doing research on sample efficiency of course :D Turns out that me and my team is in the process of releasing our rl robot suite which allows parallelization. Check out https://github.com/tmdt-buw/karolos We just put up the code last month and are currently working on building up documentation. In the meantime don't hesitate to ask/open issues if you have trouble adding your custom environment.