Engineering Manager of Applied AI at modlai leading a team working on imitation learning for game playing agents. Still doing PCGML on the side. he/him
Joined October 2016
- Tweets 299
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17 Photos and videos
Sam Snodgrass retweeted
30 May 2025
Exciting to announce that the second edition of the PCGML textbook by Sam Snodgrass, Adam Summerville and myself is online! This version is a major update of the first, with a new chapter on GenAI and updates on the last two years of research.
link.springer.com/book/10.10…
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14 May 2024
Be sure to chat with @sebastianberns about this super cool work if you're at CHI this week! Had a lot of fun with this team looking into how human perceptions align (or don't) with common similarity measures used in PCG and other domains.
14 May 2024
This week, I am at #CHI2024 to present our latest paper. “Not All the Same: Understanding and Informing Similarity Estimation in Tile-Based Video Games” arxiv.org/abs/2402.18728. Co-authors: @CIGbalance, Laurissa Tokarchuk, @SamPSnodgrass and @creativeEndvs.
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Sam Snodgrass retweeted
30 May 2023
Tired of AI hype but interested in reading about how machine learning (generative AI if you like) can be used to generate content in games? Well do I have the book for you!
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Sam Snodgrass retweeted
30 Apr 2023
New paper on Procedural Content Generation via Knowledge Transformation (PCG-KT) from @riffsircar, me, @SamPSnodgrass, @Autumnsburg, Tiago Machado, and @gillianmsmith. We propose a framework for transforming knowledge between domains, allowing for generation for unseen games!
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27 Feb 2023
Reminder that *today* is the last day to submit to the @ieee_cog call for Competitions.
The full call for competition proposals can be found here: tinyurl.com/yzbke9s9
Looking forward to seeing what everyone sends in!
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16 Dec 2022
From subtweet to published book in ~2 years? That's not a bad turnaround. A PCGML textbook now exists! I had a great time writing this with @MatthewGuz and @Autumnsburg And I'm really hoping this book helps bring more people into the field!
Link to book: link.springer.com/book/10.10…
17 Nov 2020
I’ve had to explain to a few students recently that there isn’t a PCGML textbook because the topic only coalesced ~4 years ago. But if any academic publishers want to pay @Autumnsburg, @SamPSnodgrass, and I to write a textbook I certainly wouldn’t say no.
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25 Oct 2022
Well, well, well. Look who got a title bump. I'll still be bringing PCGML to game devs, and exploring new ways that PCGML can impact game design, and improve bots and testing. Now with some seniority sprinkled in! Looking forward to growing alongside @modl_ai in my new role
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Sam Snodgrass retweeted
30 Aug 2022
Creating Generative Machine Learning systems with @SamPSnodgrass - @modl_ai at #GameAISchool2022 #PCG #ML = #PCGML
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Sam Snodgrass retweeted
22 May 2022
Well, A Museum of Self & Space is out now on Steam and Itch. Please support, RT and all that good stuff.
jackhartgames.itch.io/amosas
store.steampowered.com/app/1…
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Last month we tried our first Twitter spaces and we are ready for round2 with @holmgard @risi1979 and @AIandGames
Listen to the experts argue about behavioural learning and it’s implication for Player bots in Video games.
x.com/i/spaces/1BRJjnXDBopJw
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9 Nov 2021
Should have used this as the abstract to my dissertation.
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24 Jun 2021
The ritual is complete and my sacrifice to academic gods has been accepted.
ALT Screengrab of a google scholar page showing 666 citations enclosed in a pentagram
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21 May 2021
Hi all, 2 weeks ago I gave an invited talk at the Game Intelligence & Informatics workshop at PAKDD (bit.ly/3yBBzi7) and want to share a bit about my talk. So heres a thread about how we as researchers and tool developers can Reduce User Burden in PCGML Systems 1/n
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21 May 2021
We should also be further developing other methods for assisting non-ML experts in PCGML systems. e.g., automatically learning/suggesting data representations; allowing data from similar domains to be used; and deploying models that are more robust to suboptimal setups. 17/n
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21 May 2021
Thank you if you stuck with me through the thread! There is some really important and interesting work to be done in this space, and this thread just talks about a few ways. But by doing this work we can get closer to one of PCGML's goals: making PCG more broadly accessible 18/18
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