Research Scientist at DeepMind. I am interested in general multiagent RL, game theory, search, and planning in games. Lover of coffee, Linux, and everything open-source. Fan of the Montreal Canadiens and retro (Intellivision, Commodore 64, Amiga, and DOS) computer/console games.
For more, see http://mlanctot.info
Learning to Incentivize Improvements from Strategic Agents
Yatong Chen, Jialu Wang, Yang Liu
Action editor: Pascal Poupart.
A Ranking Game for Imitation Learning
Harshit Sikchi, Akanksha Saran, Wonjoon Goo, Scott Niekum
Implicit Ensemble Training for Efficient and Robust Multiagent Reinforcement Learning
Macheng Shen, JONATHAN P HOW
"Can a large language model be conscious?
Can a #LLM think?"
Join us
Fri Jan 20, 4 PM ET
at the #LearningSalon
to listen to & discuss with prominent philosopher of mind
David Chalmers @davidchalmers42
John Krakauer, @melaniemitchell , Claire & I are excited to discuss with David!
https://crowdcast.io/e/learningsalon/58
* The #LearningSalon is an online interdisciplinary forum, with brief talks & 2-hour discussions on #neuroscience #AI #psychology #philosophy
You can now watch the recorded material from #NeurIPS2022 online without registration at:
We are currently running a massive and open source benchmark of all algorithms on all environments from the RL Zoo (all experiments are tracked on W&B ).
Please take a look at https://github.com/openrlbenchmark/openrlbenchmark/issues/7 if you want to help
Congratulations #teamcanada on the gold medal win in the juniors world cup #wjc #iihf !!
Impressive come back by Czechia to tie it up in the third period and a nerve-wracking OT, but we pulled it off #canada , wooohooo!!!
I ran this poll way back in November (before migrating to this instance) and in light of the massive global Twitter outage right now I went back to dig up the results. Looks like 33% of the respondents were correct! Congratulations to the winners! Your prize is a brief period during which there is no Twitter platform.
Link to poll here:
https://mastodon.social/@pollak/109332307846879875
Published papers at TMLR
Ida Momennejad
NeurIPSConf
Antonin Raffin
Eugen Rochko
Micah Pollak