[Tea Talk] [New Website]Maxime Chevalier-Boisvert (Mila) Fri January 11 2019 10h30 Mila Auditorium
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 https://mila.bluejeans.com/809027115/webrtc? 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?auth... 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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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.
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?auth... https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsites.google.com%2Flisa.iro.umontreal.ca%2Ftea-talk-recordings%2Fhome%3Fauthuser%3D0&data=02%7C01%7C%7Cfff90164c81b40b986ed08d674afe588%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C636824696144711094&sdata=HSaAxTbNrNZn4o2nXg%2FdRxd2F5PTGJ2rG2gaiOTD9RA%3D&reserved=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 https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fopenreview.net%2Fforum%3Fid%3DrJeXCo0cYX&data=02%7C01%7C%7Cfff90164c81b40b986ed08d674afe588%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C636824696144711094&sdata=D0QTqMzgRYHAqNP%2BNNOeZ3Z2rR6zzKZ5%2FrnaOxg3QQ4%3D&reserved=0). 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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The streaming link for this talk is https://mila.bluejeans.com/4862024040/webrtc https://mila.bluejeans.com/4862024040/webrtc
On Fri, Jan 11, 2019 at 9:50 AM Rim Assouel rim.assouel@gmail.com wrote:
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*.
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?auth... https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsites.google.com%2Flisa.iro.umontreal.ca%2Ftea-talk-recordings%2Fhome%3Fauthuser%3D0&data=02%7C01%7C%7Cfff90164c81b40b986ed08d674afe588%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C636824696144711094&sdata=HSaAxTbNrNZn4o2nXg%2FdRxd2F5PTGJ2rG2gaiOTD9RA%3D&reserved=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 https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fopenreview.net%2Fforum%3Fid%3DrJeXCo0cYX&data=02%7C01%7C%7Cfff90164c81b40b986ed08d674afe588%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C636824696144711094&sdata=D0QTqMzgRYHAqNP%2BNNOeZ3Z2rR6zzKZ5%2FrnaOxg3QQ4%3D&reserved=0). 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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Thanks everyone for coming to our talk!
If you are interested in using BabyAI for your research or doing research in the directions that Maxime and myself propose, please come to our BabyAI Idea Fair, which will take place at the meeting room A.14 on Tuesday, January 15, 13:00. It will be an informal gathering for people interested in grounded language acquisition in general and using BabyAI in particular. Let's get know each other better and brainstorm about ideas!
Please join #aigame on slack for further communication about BabyAI.
Dima
On Fri, 11 Jan 2019 at 10:13 Pablo Fonseca palefo@gmail.com wrote:
The streaming link for this talk is https://mila.bluejeans.com/4862024040/webrtc https://mila.bluejeans.com/4862024040/webrtc
On Fri, Jan 11, 2019 at 9:50 AM Rim Assouel rim.assouel@gmail.com wrote:
This happens in 45 minutes!
The auditorium is located in the new Mila building : 6650 St-Urbain https://maps.google.com/?q=6650+St-Urbain&entry=gmail&source=g, 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*.
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?auth... https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsites.google.com%2Flisa.iro.umontreal.ca%2Ftea-talk-recordings%2Fhome%3Fauthuser%3D0&data=02%7C01%7C%7Cfff90164c81b40b986ed08d674afe588%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C636824696144711094&sdata=HSaAxTbNrNZn4o2nXg%2FdRxd2F5PTGJ2rG2gaiOTD9RA%3D&reserved=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 https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fopenreview.net%2Fforum%3Fid%3DrJeXCo0cYX&data=02%7C01%7C%7Cfff90164c81b40b986ed08d674afe588%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C636824696144711094&sdata=D0QTqMzgRYHAqNP%2BNNOeZ3Z2rR6zzKZ5%2FrnaOxg3QQ4%3D&reserved=0). 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.
-- You received this message because you are subscribed to the Google Groups "Tea Talks MILA" group. To unsubscribe from this group and stop receiving emails from it, send an email to teatalk-orgs+unsubscribe@lisa.iro.umontreal.ca. To post to this group, send email to teatalk-orgs@lisa.iro.umontreal.ca. To view this discussion on the web visit https://groups.google.com/a/lisa.iro.umontreal.ca/d/msgid/teatalk-orgs/62EB3... https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgroups.google.com%2Fa%2Flisa.iro.umontreal.ca%2Fd%2Fmsgid%2Fteatalk-orgs%2F62EB3FB8-BBA1-4614-BEEF-605BF82803F2%2540gmail.com%3Futm_medium%3Demail%26utm_source%3Dfooter&data=02%7C01%7C%7Cfff90164c81b40b986ed08d674afe588%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C636824696144711094&sdata=BFEeU%2FUfCC1%2BYOQ7y%2Br6xRcuE5kDXd6FpneJDgE9C0I%3D&reserved=0 .
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lisa_seminaires@iro.umontreal.ca
-
Dzmitry Bahdanau -
Pablo Fonseca -
Rim Assouel