Blog

Learn About Our Meetup

5000+ Members

MEETUPS

LEARN, CONNECT, SHARE

Join our meetup, learn, connect, share, and get to know your Toronto AI community. 

JOB POSTINGS

INDEED POSTINGS

Browse through the latest deep learning, ai, machine learning postings from Indeed for the GTA.

CONTACT

CONNECT WITH US

Are you looking to sponsor space, be a speaker, or volunteer, feel free to give us a shout.

[D] Impala vs MCTS for self play

AlphaStar uses Impala over tree search. Comments here explain this is mainly due to action space width. But conceptually, i never grasped by one method makes better use of a given “exploration budget”.

A. Is it just tree width or also the episode length?

B. Someone (maybe Vinyals?) mentioned that “it would be hard to saturate the GPU” with tree search. So if sc2 was a light weight reversible environment, would (a narrow?) tree search become feasible?

(Lets ignore issues such as hidden information, agent league, real time. the building order assistance)

Thank u for any comment

submitted by /u/so_tiredso_tired
[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.