• A chess enthusiast - 2585 Elo @Chesscom)
• Developed the first language model at Google DeepMind capable of playing the game at near super-human level (3200 Elo).
I was fortunate to join the board games team at Google as a student researcher, where we proved that the answer is a resounding YES! ♟️🤯
deepmind.google/research/pub...
Game Arena is transparent, replayable, and tests actual behavioral intelligence.
Game Arena is transparent, replayable, and tests actual behavioral intelligence.
I should have planned my year not to miss @aamasconf.bsky.social…
Big congrats and keep up amazing work! 🎉👏
I should have planned my year not to miss @aamasconf.bsky.social…
Big congrats and keep up amazing work! 🎉👏
I'll discuss how, during my time at DeepMind, we taught LLMs to play chess at a GM level and the broader implications for strategic AI.
If you're in Zagreb, join us at Mažuranićev trg 13 at 6 PM!
More info & RSVP: lu.ma/erjji5it
I'll discuss how, during my time at DeepMind, we taught LLMs to play chess at a GM level and the broader implications for strategic AI.
If you're in Zagreb, join us at Mažuranićev trg 13 at 6 PM!
More info & RSVP: lu.ma/erjji5it
In “Mastering Board Games by External and Internal Planning with Language Models”, we show how language models can achieve grandmaster-level play using a search budget on par with humans.
arxiv.org/abs/2412.12119
In “Mastering Board Games by External and Internal Planning with Language Models”, we show how language models can achieve grandmaster-level play using a search budget on par with humans.
arxiv.org/abs/2412.12119
From Gen42: "Hive is an award-winning board game with a difference. There is no board. The pieces are added to the playing area thus creating the board. As more and more pieces are added the game becomes a fight to ...
🧵1/5
From Gen42: "Hive is an award-winning board game with a difference. There is no board. The pieces are added to the playing area thus creating the board. As more and more pieces are added the game becomes a fight to ...
🧵1/5
We're open-sourcing sim agents that achieve a 99.8% success rate with < 0.8% failures on the Waymo Dataset. These agents are built through scaling self-play.
We're open-sourcing sim agents that achieve a 99.8% success rate with < 0.8% failures on the Waymo Dataset. These agents are built through scaling self-play.
arxiv.org/pdf/2502.05244
These notes aim to give a graduate-level introduction to probabilistic ML + sequential decision-making.
I'm super glad to be able to share them with all of you now!
Excited to share insights from my student research at Google DeepMind at the upcoming ZurichNLP meetup! I'll present how we achieved high-level play in board games using LLMs with a search budget comparable to human chess grandmasters.
Excited to share insights from my student research at Google DeepMind at the upcoming ZurichNLP meetup! I'll present how we achieved high-level play in board games using LLMs with a search budget comparable to human chess grandmasters.
arxiv.org/abs/2502.03349
arxiv.org/abs/2502.03349
www.quantamagazine.org/chatbot-soft...
More news about this work and 2nd version is coming soon!
#machinelearning #deeplearning #cs #computerscience #tcs
www.quantamagazine.org/chatbot-soft...
More news about this work and 2nd version is coming soon!
#machinelearning #deeplearning #cs #computerscience #tcs
Sound efficient?
HT @ellenmacarthurfdn.bsky.social
Sound efficient?
HT @ellenmacarthurfdn.bsky.social
To ensure we are open about it, we made those instructions public:
rl-conference.cc/reviewinstru...
Given it a read or paste it into NotebookLM to listen, if you prefer!
blog.google/technology/a...
Given it a read or paste it into NotebookLM to listen, if you prefer!
blog.google/technology/a...
Topics: distributed opt., coalition formation, opt. under uncertainty, winner determination algs in auctions and procurements, algs to compute equilibria in games.
optlearnmas.github.io
Topics: distributed opt., coalition formation, opt. under uncertainty, winner determination algs in auctions and procurements, algs to compute equilibria in games.
optlearnmas.github.io
Here's a talk now on Youtube about it given by my awesome colleague John Schultz!
www.youtube.com/watch?v=JyxE...
Here's a talk now on Youtube about it given by my awesome colleague John Schultz!
www.youtube.com/watch?v=JyxE...
www.youtube.com/watch?v=JyxE...
www.youtube.com/watch?v=JyxE...
Please consider submitting to this great venue or telling your students about it.
👇
Check out the Doctoral Consortium at #AAMAS 2025! Deadline: Jan 17th.
aamas2025.org/index.php/co...
Please consider submitting to this great venue or telling your students about it.
👇
@lichess.org broadcast: lichess.org/broadcast/29...
@lichess.org broadcast: lichess.org/broadcast/29...
Check out the Language Gamification Workshop: language-gamification.github.io
Program looks 👍👍👍
I will be presenting our work on training LMs to play board games using search at 9:10 - 9:50am. ♟️✨