[agents] CFP: AAAI 2021 Workshop on Reinforcement Learning in Games

[Marc Lanctot]

Hi all,

A quick reminder that the deadline is approaching: this Monday, November
9th!

Thanks,
Marc


On Tue, Sep 22, 2020 at 1:32 PM Marc Lanctot <marc.lanctot at gmail.com> wrote:

>
> *[Apologies for multiple cross-posting!]Call for Participation:  AAAI 2021
> Workshop on Reinforcement Learning in GamesSubmission Deadline: November 9,
> 2020*
>
>
> *Website: http://aaai-rlg.mlanctot.info/ <http://aaai-rlg.mlanctot.info/>*
>
> Games provide an abstract and formal model of environments in which
> multiple agents interact: each player has a well-defined goal and rules to
> describe the effects of interactions among the players. The first
> achievements in playing these games at super-human level were attained with
> methods that relied on and exploited domain expertise that was designed
> manually (e.g. chess, checkers). In recent years, we have seen examples of
> general approaches that learn to play these games via self-play
> reinforcement learning (RL), as first demonstrated in Backgammon. While
> progress has been impressive, we believe we have just scratched the surface
> of what is capable, and much work remains to be done in order to truly
> understand the algorithms and learning processes within these environments.
>
> The main objective of the workshop is to bring researchers together to
> discuss ideas, preliminary results, and ongoing research in the field of
> reinforcement in games.
>
> We invite participants to submit papers on the 9th of November, based on
> but not limited to, the following topics:
>
>    - RL in various formalisms: one-shot games, turn-based, and Markov
>    games, partially-observable games, continuous games, cooperative games
>    - Deep RL in games
>    - Combining search and RL in games
>    - Inverse RL in games
>    - Foundations, theory, and game-theoretic algorithms for RL
>    - Opponent modeling
>    - Analyses of learning dynamics in games
>    - Evolutionary methods for RL in games
>    - RL in games without the rules
>    - Monte Carlo tree search
>    - Online learning in games.
>
> **Format of workshop**
>
> RLG is a 1 full-day workshop. It will start a 60 minute mini-tutorial
> covering a brief tutorial and basics of RL in games, 2-3 invited talks by
> prominent contributors to the field, paper presentations, a poster session,
> and will close with a discussion panel.
> **Submission requirements**
>
> Papers must be between 4-8 pages in the AAAI submission format, with the
> eighth page containing only references. Papers will be submitted
> electronically using Easychair. Accepted papers will not be archival, and
> we explicitly allow papers that are concurrently submitted to, currently
> under review at, or recently accepted in other conferences / venues.
>
>
> Please submit your paper using the submission link on the web site.
>
> Workshop Chair: Martin Schmid (DeepMind)
>
> Workshop committee: Marc Lanctot (DeepMind), Julien Perolat (DeepMind),
> Martin Schmid (DeepMind).
>
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