Blog

Learn About Our Meetup

4500+ Members

[R] AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers

When looking at RL training, it’s often frustrating to see the agent taking so long to discover simple things you could code up yourself for parts of the task. This work takes that idea as it basis – if you code up some solutions to parts of the problem, how do you incorporate that into RL training? Turns out it’s a little tricky…

Arxiv: https://arxiv.org/abs/1909.04121 (CORL 2019)

Blog post: http://ai.stanford.edu/blog/acteach/

(hope posting own papers is kosher, open to answering any questions!)

submitted by /u/regalalgorithm
[link] [comments]

Next Meetup

 

Days
:
Hours
:
Minutes
:
Seconds

 

Plug yourself into AI and don't miss a beat

 


Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.