[Lisa_seminaires] [Tea Talk] Dzmitry Bahadanau (MILA) Fri June 22 10:30AM AA3195

Michael Noukhovitch mnoukhov at gmail.com
Ven 22 Juin 10:10:57 EDT 2018


Reminder this is in 30 minutes!

On Mon, Jun 18, 2018, 13:10 Michael Noukhovitch <mnoukhov at gmail.com> wrote:

> This week we have our very own *Dzmitry Bahadanau* giving a talk on work
> he did on internship at DeepMind on *Friday June 22* at *10:30AM* in room
> *AA3195*.
>
> Help Dima get a human baseline for instruction following and *come to the
> tea talk*
> Michael
>
> *TITLE* Learning to Follow Language Instructions with Adversarial Reward
> Induction
>
> *KEYWORDS *language understanding, reinforcement learning, grounded
> language
>
>
> *ABSTRACT*
> Recent work has shown that deep reinforcement-learning agents can learn to
> follow language-like instructions from infrequent environment rewards.
> However, for many real-world natural language commands that involve a
> degree of underspecification or ambiguity, such as *tidy the room*, it
> would be challenging or impossible to program an appropriate reward
> function. To overcome this, we present a method for learning to follow
> commands from a training set of instructions and corresponding example
> goal-states, rather than an explicit reward function. Importantly, the
> example goal-states are not seen at test time. The approach effectively
> separates the representation of what instructions require from how they can
> be executed. In a simple grid world, the method enables an agent to learn a
> range of commands requiring interaction with blocks and understanding of
> spatial relations and underspecified abstract arrangements. We further show
> the method allows our agent to adapt to unseen instructions and changes in
> the environment without requiring new training examples.
>
> *BIO*
> Dzmitry Bahdanau is a Ph.D. student at the Montreal Institute for Learning
> Algorithms under the supervision of Yoshua Bengio.  His research interest
> is enabling intelligent assistants that could collaborate with humans and
> communicate with them in natural language. In the view of this long-term
> research goal he is interested in language acquisition, language grounding
> models, reinforcement learning and imitation learning. Dzmitry studied
> applied mathematics at Belarusian State University in Minsk and obtained
> his MsC degree in computer science at Jacobs University Bremen, Germany.
>
-------------- section suivante --------------
Une pièce jointe HTML a été nettoyée...
URL: http://webmail.iro.umontreal.ca/pipermail/lisa_seminaires/attachments/20180622/718b5d07/attachment.html 


Plus d'informations sur la liste de diffusion Lisa_seminaires