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

[Marc Lanctot]

*[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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