Bryan Chan
@chanpyb.bsky.social
PhD student at University of Alberta. Interested in reinforcement learning, imitation learning, machine learning theory, and robotics
https://chanb.github.io/
https://chanb.github.io/
Reposted by Bryan Chan
If you were at the last RLC NeurIPS event, you know it's not to be missed. Invite any RL researcher you know, no invite-only parties here.
If you're at NeurIPS, RLC is hosting an RL event from 8 till late at The Pearl on Dec. 11th. Join us, meet all the RL researchers, and spread the word!
December 10, 2024 at 9:56 PM
If you were at the last RLC NeurIPS event, you know it's not to be missed. Invite any RL researcher you know, no invite-only parties here.
Can someone point me to any paper that uses RL on real-life (image-based) environments without sim2real/imitation learning? For good reasons I am told that this is pretty common but I’ve only found a handful of papers (CQN, QT-Opt, SAC-X)
December 2, 2024 at 3:26 PM
Can someone point me to any paper that uses RL on real-life (image-based) environments without sim2real/imitation learning? For good reasons I am told that this is pretty common but I’ve only found a handful of papers (CQN, QT-Opt, SAC-X)
Reposted by Bryan Chan
Streaming Deep Reinforcement Learning Finally Works, by
M. Elsayed, G. Vasan, A. R. Mahmood, is one of those papers I wish I had written 😅
This paper seems to allow us to do RL with NNs as it should have always been done. Everyone should read it!
arxiv.org/abs/2410.14606
M. Elsayed, G. Vasan, A. R. Mahmood, is one of those papers I wish I had written 😅
This paper seems to allow us to do RL with NNs as it should have always been done. Everyone should read it!
arxiv.org/abs/2410.14606
Streaming Deep Reinforcement Learning Finally Works
Natural intelligence processes experience as a continuous stream, sensing, acting, and learning moment-by-moment in real time. Streaming learning, the modus operandi of classic reinforcement learning ...
arxiv.org
November 27, 2024 at 11:09 PM
Streaming Deep Reinforcement Learning Finally Works, by
M. Elsayed, G. Vasan, A. R. Mahmood, is one of those papers I wish I had written 😅
This paper seems to allow us to do RL with NNs as it should have always been done. Everyone should read it!
arxiv.org/abs/2410.14606
M. Elsayed, G. Vasan, A. R. Mahmood, is one of those papers I wish I had written 😅
This paper seems to allow us to do RL with NNs as it should have always been done. Everyone should read it!
arxiv.org/abs/2410.14606