Re: [Computer-go] Announcement in Leela

[Sorin Gherman]

 Of course it defeated amateur 5d on DGS, LeelaZero has already
reached/surpassed top human pro strength, see recent news:

https://www.reddit.com/r/baduk/comments/8ezgms/leela_zero_20_blocks_4x_v100_tesla_gpu_just/
https://www.reddit.com/r/cbaduk/comments/8e7d21/andy_liu_1p_aga_vs_leela_zero_2_stones_handicap/



On Fri, Apr 27, 2018 at 5:09 PM mic  wrote:

> LeelaZero seems to have got a boost in strength. It just happened to
> beat a 5d player on DGS:
> https://www.dragongoserver.net/game.php?gid=1214911
>
> Beginning of this year it still lost against fuego bot by a big margin.
>
> Let's hope it's not just luck.
>
> -Michael.
>
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Re: [Computer-go] Announcement in Leela

[mic]

LeelaZero seems to have got a boost in strength. It just happened to 
beat a 5d player on DGS: https://www.dragongoserver.net/game.php?gid=1214911


Beginning of this year it still lost against fuego bot by a big margin.

Let's hope it's not just luck.

-Michael.

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[Computer-go] FW: Opening for Game AI Post-Doc @ QMUL

[Simon Lucas]

Applications are invited for a Postdoctoral Research Associate position in the 
area of Game AI.

The project is led by Professor Simon Lucas, the head of the School of 
Electronic Engineering and Computer Science at Queen Mary University of London, 
and will be based at the Mile End Campus in East London.

The aim of the project is to make significant progress on two fronts by 
developing rapidly adaptive algorithms that can be used as the basis for 
statistical simulation-based AI controllers, and also be used to search game 
design spaces for novel and interesting games. A particular focus of the work 
will be on general approaches to designing and playing real-time strategy games 
using methods related to combinatorial multi-armed bandits.

Candidates will need to have a relevant PhD in Computer Science (or equivalent 
academic or industrial experience) or related discipline, and a track record 
that includes publications in Artificial Intelligence applied to Games. 
Candidates should have a background in designing AI for games (video games 
and/or board games) automatic game tuning. It is essential that the candidate 
has the ability to work effectively in teams to undertake collaborative 
research and co-author high quality publications.

The project may also involve working with visiting researchers, and visiting 
other institutions involved in Game AI. In addition, the successful candidate 
will be expected to assist with supervising PhD students.

This is a full-time post for 27 months or until 31 July 2020 whichever is the 
shorter. The post is available from June 2018. The starting salary will be in 
the range of £36,677 - £43,152 per annum inclusive of London allowance. 
Benefits include 30 days’ annual leave, defined benefit pension scheme and 
interest-free season ticket loan.

Candidates must be able to demonstrate their eligibility to work in the UK in 
accordance with the Immigration, Asylum and Nationality Act 2006. Where 
required this may include entry clearance or continued leave to remain under 
the Points Based Immigration Scheme.

Informal enquiries should be addressed to Julie Macdonald 
(j.macdon...@qmul.ac.uk).

More details below:
https://tinyurl.com/qmulgame


--
Simon Lucas
Professor of Artificial Intelligence
Head of School
Electronic Engineering and Computer Science
Queen Mary University of London
http://gameai.eecs.qmul.ac.uk

https://scholar.google.co.uk/citations?user=Jz8DDVAJ=en


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