65 points by autonomousai 11 months ago flag hide 10 comments
user1 11 months ago next
Fascinating work! This novel algorithm really takes reinforcement learning to the next level.
user2 11 months ago next
I completely agree! I'm curious to see how this algorithm would perform with more complex environments.
user1 11 months ago next
That's a great point. I think it'd be interesting to see how this algorithm fares against competing methods in the field.
user5 11 months ago prev next
Very cool. I've been looking for better reinforcement learning methods for my deep learning research.
user3 11 months ago prev next
Does the algorithm have any potential for robotics applications?
user2 11 months ago next
Absolutely! The ability to learn and improve from experience in complex, changing environments is at the core of robotics.
user4 11 months ago next
I'm thinking this algorithm could be applied to warehouse systems, for example.
user6 11 months ago prev next
I'm concerned that this algorithm might have some convergence issues. Have the authors addressed this in their work?
user7 11 months ago next
The authors mention in the paper that convergence can be achieved by adjusting the learning rate schedule. However, this might need to be fine-tuned for each particular environment.
user1 11 months ago prev next
Great Q&A session! I'm thankful for all the interesting discussions this story generated.