This happens in 45 minutes!

The auditorium is located in the new Mila building : 6650 St-Urbain, ground floor, the room at the very end of the corridor, right after the Agora.

See you there!

On Jan 7, 2019, at 9:53 AM, Rim Assouel <rim.assouel@gmail.com> wrote:

This week we have Maxime Chevalier-Boisvert from Mila giving a talk on BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning at 10h30 in room Mila Auditorium.

Will this talk be streamed ? yes

We are also pleased to share the new « website » where we will keep track of the talks slides/recordings : https://sites.google.com/lisa.iro.umontreal.ca/tea-talk-recordings/home?authuser=0

It’s accessible with your Mila google account :) 

See you there and Happy New Year! 

Pablo, Sai and Rim

TITLE BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning 

 
ABSTRACT
This talk will present BabyAI, a research project based at Mila with the long-term goal of creating agents which we can communicate with and teach new concepts using natural language. We will begin by discussing why language learning is a hard problem, one to which deep learning doesn't yet have a satisfying answer for. We will then introduce the BabyAI platform, created to study the sample efficiency of grounded language learning in the context of embodied agents and instruction following (see paper accepted at ICLR19, https://openreview.net/forum?id=rJeXCo0cYX). Lastly, we will discuss multiple promising research directions we have identified with the goal of improving the sample efficiency of grounded language learning.

BIO
Maxime has completed a PhD in computer science at the Université de Montréal in early 2016. She has since worked at Apple as part of the mobile GPU team, and then joined Mila as part of the research engineering staff. At Mila, she has been co-directing the BabyAI project with Dzmitry Bahdanau, and took part in creating the Duckietown Simulator. Her main research interests are robotics, embodied agents and reinforcement learning.

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