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# System prepended metadata

title: AAAI Experiences

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# AAAI Experiences
## Submissions/Acceptance rates
* 1591 submissions / 7737 reviewed submissions
* acceptance rate of 20.6%
* up from 7095 reviewed submissions last year (16.2% acceptance rate)

## Reinforcement Learning in Games Workshop
* http://aaai-rlg.mlanctot.info/
    * link with papers

![](https://i.imgur.com/cvHrqCh.png)

* Search in Cooperative Partially Observable Games
    * FB AI Research, Hanabi
* Invited talk by Amy Greenwald
    * Historical stuff
* Atari-HEAD
    * New data with eye tracking on Atari
    * Ran some simple experiments e.g. imitation learning to test the value of the data set
* Invited talk by Gerry Tesauro
    * Historical stuff, TD-gammon
* Invited talk by Michael Bowling
    * Hanabi overview
* Invited talk by David Silver
    * Got to vote between MuZero and AlphaStar
    * Presented MuZero
* Posters
    * Accelerating Self-Play Learning in Go
        * KataGo author, lots of smaller improvements
        * divided poster into Go specific and general techniques
        * Claims 50x speedup in AlphaZero training
    * Analysis of Statistical Forward Planning Methods in Pommerman
        * hand-crafted model for model-based RL on Pommerman
    * Self-play Learning Without a Reward Metric
        * AlphaZero modification which uses ordering of game outcomes to train agents

## Reproducibility in AI Workshop
* https://folk.idi.ntnu.no/odderik/RAI-2020/
    * More info
* Workshop chair came up with a list of guidelines for authors to follow
* Also presented ML reproducibility checklist
* Discussion on how to incorporate these guidelines into the submission process for future conferences
* voluntary requirements show good results:
    *  NeurIPS 2018 adoption rate <50%
    *  NeurIPS 2019 75

## Invited Talks
* https://aaai.org/Conferences/AAAI-20/livestreamed-talks/
    * all listed talks and more accessible with this link
* Turing award winners
    * Hinton
        * Capsule networks
    * LeCun
        * Overview of ML topics
        * Promotion of self-supervised learning
    * Bengio
        * AI should take inspiration from "Thinking fast and slow"
* Kautz: Third AI summer
    * History
    * Presented a few potential ethical problems
        * Mental privacy
        * Social networks
        * autonomous resource extraction
* Debate: Academic AI researchers should focus their attention on research problems that are not of immediate interest to industry
* AI History Panel: Advancing AI by Playing Games
    * Murray Campbell
    * Garry Kasparov
    * Michael Bowling
    * David Silver
    * Hiroaki Kitano